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Journal articles on the topic 'Electronic data processing departments'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Zhu, Yongjie, and Youcheng Li. "A Data Sharing and Integration Technology for Heterogeneous Databases." International Journal of Circuits, Systems and Signal Processing 16 (January 10, 2022): 232–38. http://dx.doi.org/10.46300/9106.2022.16.28.

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For a long time, there are a large number of heterogeneous databases on the network, and their heterogeneity is manifested in many aspects. With the development of enterprise informatization and e-government, the system database of each department constitutes a real heterogeneous database framework with its independence and autonomy in the network system of many different functional departments. This paper will design information sharing between heterogeneous databases of network database system of many similar functional departments by using XML data model. The solution of data sharing betwee

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Altamimi, Mohammed H., Maalim A. Aljabery, and Imad S. Alshawi. "Big Data Framework Classification for Public E-Governance Using Machine Learning Techniques." Basrah Researches Sciences 48, no. 2 (December 30, 2022): 112–22. http://dx.doi.org/10.56714/bjrs.48.2.11.

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Using Machine Learning (ML) in many fields has shown remarkable results, especially in government data analysis, classification, and prediction. This technology has been applied to the National ID data (Electronic Civil Registry) (ECR). It is used in analyzing this data and creating an e-government project to join the National ID with three government departments (Military, Social Welfare, and Statistics_ Planning). The proposed system works in two parts: Online and Offline at the same time; based on five (ML) algorithms: Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbor (KN

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Dudeck, J., G. Junghans, K. Marquardt, P. Sebald, A. Michel, and H. U. Prokosch. "WING – Entering a New Phase of Electronic Data Processing at the Gießen University Hospital." Methods of Information in Medicine 30, no. 04 (1991): 289–98. http://dx.doi.org/10.1055/s-0038-1634851.

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AbstractAt the Gielßen University Hospital electronic data processing systems have been in routine use since 1975. In the early years developments were focused on ADT functions (admission/discharge/transfer) and laboratory systems. In the next decade additional systems were introduced supporting various functional departments. In the mid-eighties the need to stop the ongoing trend towards more and more separated standalone systems was realized and it was decided to launch a strategic evaluation and planning process which sets the foundation for an integrated hospital information system (HIS).

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Samoylov, P. A. "ELECTRONIC CRIME INCIDENT REPORT AS A REASON TO INITIATE A CRIMINAL CASE (THE COMPARATIVE ANALYSIS OF LEGAL REGULATION IN THE NORMATIVE ACTS OF THE RUSSIAN MINISTRY OF INTERNAL AFFAIRS AND THE RF CRIMINAL PROCEDURE CODE)." Vektor nauki Tol’attinskogo gosudarstvennogo universiteta. Seria Uridicheskie nauki, no. 2 (2021): 44–50. http://dx.doi.org/10.18323/2220-7457-2021-2-44-50.

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The integration and active application of electronic document flow to the daily activities of the police have consistently and logically led to the fact that the electronic crime incident report is increasingly used as a reason to initiate criminal cases. The departmental normative legal acts of the Ministry of Internal Affairs of Russia regulate in detail the processing of such reports. However, under the RF Criminal Procedure Code, not all electronic crime reports registered by the Departments of Internal Affairs meet the established requirements, and, accordingly, they can not perform the f

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Zavyalov, Aleksandr A., and Dmitry A. Andreev. "Management of the radiotherapy quality control using automated Big Data processing." Health Care of the Russian Federation 64, no. 6 (December 30, 2020): 368–72. http://dx.doi.org/10.46563/0044-197x-2020-64-6-368-372.

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Introduction. In Moscow, the state-of-the-art information technologies for cancer care data processing are widely used in routine practice. Data Science approaches are increasingly applied in the field of radiation oncology. Novel arrays of radiotherapy performance indices can be introduced into real-time cancer care quality and safety monitoring. The purpose of the study. The short review of the critical structural elements of automated Big Data processing and its perspectives in the light of the internal quality and safety control organization in radiation oncology departments. Material and

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Unwin, Elizabeth, James Codde, Louise Gill, Suzanne Stevens, and Timothy Nelson. "The WA Hospital Morbidity Data System: An Evaluation of its Performance and the Impact of Electronic Data Transfer." Health Information Management 26, no. 4 (December 1996): 189–92. http://dx.doi.org/10.1177/183335839702600407.

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This paper evaluates the performance of the Hospital Morbidity Data System, maintained by the Health Statistics Branch (HSB) of the Health Department of Western Australia (WA). The time taken to process discharge summaries was compared in the first and second halves of 1995, using the number of weeks taken to process 90% of all discharges and the percentage of records processed within four weeks as indicators of throughput. Both the hospitals and the HSB showed improvements in timeliness during the second half of the year. The paper also examines the impact of a recently introduced electronic

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Pan, Chen. "Quality Management System for Clinical Nutrition: On the processing of the Artificial Intelligence into Quality Assessment." Nutrition and Food Processing 04, no. 03 (May 26, 2021): 01–06. http://dx.doi.org/10.31579/2637-8914/038.

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Objective: To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control. Subjects: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). Methods: An on

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Gerner-Smidt, Peter, Lise Hansen, Anna Knudsen, K. Siboni, and I. Søgaard. "Epidemic spread of Acinetobacter calcoaceticus in a neurosurgical department analyzed by electronic data processing." Journal of Hospital Infection 6, no. 2 (June 1985): 166–74. http://dx.doi.org/10.1016/s0195-6701(85)80094-3.

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GERNERSMIDT, P. "Epidemic spread of Acinetobacter calcoaceticus in a neurosurgical department analyzed by electronic data processing." Journal of Hospital Infection 6, no. 2 (June 1985): 166–74. http://dx.doi.org/10.1016/0195-6701(85)90008-8.

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MacPhaul, Erin, Li Zhou, Stephen J. Mooney, Deborah Azrael, Andrew Bowen, Ali Rowhani-Rahbar, Ravali Yenduri, Catherine Barber, Eric Goralnick, and Matthew Miller. "Classifying Firearm Injury Intent in Electronic Hospital Records Using Natural Language Processing." JAMA Network Open 6, no. 4 (April 6, 2023): e235870. http://dx.doi.org/10.1001/jamanetworkopen.2023.5870.

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ImportanceInternational Classification of Diseases–coded hospital discharge data do not accurately reflect whether firearm injuries were caused by assault, unintentional injury, self-harm, legal intervention, or were of undetermined intent. Applying natural language processing (NLP) and machine learning (ML) techniques to electronic health record (EHR) narrative text could be associated with improved accuracy of firearm injury intent data.ObjectiveTo assess the accuracy with which an ML model identified firearm injury intent.Design, Setting, and ParticipantsA cross-sectional retrospective EHR

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Zörög, Zoltán, Tamás Csomós, and Csaba Szűcs. "ERP systems in higher education." Applied Studies in Agribusiness and Commerce 6, no. 3-4 (November 30, 2012): 103–9. http://dx.doi.org/10.19041/apstract/2012/3-4/14.

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In the past few decades data processing and in-company communication has changed significantly. First there were only a few computers purchased at companies, therefore departments developed applications that covered corporate administration which lead to so called isolated solutions. These days with the spread of electronic data processing the greatest problem for companies is not gaining information – since they can be found in all sorts of databases and data warehouses as internal or external information – rather producing information that is necessary in a given situation. What can help to

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Rakhmatullaev, Marat, and Uktam Karimov. "MODELS OF INTEGRATION OF INFORMATION SYSTEMS IN HIGHER EDUCATION INSTITUTIONS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 25, 2018): 420–29. http://dx.doi.org/10.17770/sie2018vol1.3308.

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At present a lot of automated systems are developing and implementing to support the educational and research processes in the universities. Often these systems duplicate some functions, databases, and also there are problems of compatibility of these systems. The most common educational systems are systems for creating electronic libraries, access to scientific and educational information, a program for detecting plagiarism, testing knowledge, etc. In this article, models and solutions for the integration of such educational automated systems as the information library system (ILS) and the an

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Zheng, Xuying, Fang Miao, Piyachat Udomwong, and Nopasit Chakpitak. "Registered Data-Centered Lab Management System Based on Data Ownership Safety Architecture." Electronics 12, no. 8 (April 11, 2023): 1817. http://dx.doi.org/10.3390/electronics12081817.

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University and college laboratories are important places to train professional and technical personnel. Various regulatory departments in colleges and universities still rely on traditional laboratory management in research projects, which are prone to problems such as untimely information and data transmission. The present study aimed to propose a new method to solve the problem of data islands, explicit ownership, conditional sharing, data safety, and efficiency during laboratory data management. Hence, this study aimed to develop a data-centered lab management system that enhances the safet

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Masud, Jakir Hossain Bhuiyan, Chiang Shun, Chen-Cheng Kuo, Md Mohaimenul Islam, Chih-Yang Yeh, Hsuan-Chia Yang, and Ming-Chin Lin. "Deep-ADCA: Development and Validation of Deep Learning Model for Automated Diagnosis Code Assignment Using Clinical Notes in Electronic Medical Records." Journal of Personalized Medicine 12, no. 5 (April 28, 2022): 707. http://dx.doi.org/10.3390/jpm12050707.

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Currently, the International Classification of Diseases (ICD) codes are being used to improve clinical, financial, and administrative performance. Inaccurate ICD coding can lower the quality of care, and delay or prevent reimbursement. However, selecting the appropriate ICD code from a patient’s clinical history is time-consuming and requires expert knowledge. The rapid spread of electronic medical records (EMRs) has generated a large amount of clinical data and provides an opportunity to predict ICD codes using deep learning models. The main objective of this study was to use a deep learning-

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Liang, Rui, and Gaoqing Ji. "Vehicle Detection Algorithm Based on Embedded Video Image Processing in the Background of Information Technology." Journal of Electrical and Computer Engineering 2022 (April 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/6917421.

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As the main means of transportation for urban residents, the number of motor vehicles is increasing year by year. With the continuous development of society and the gradual improvement of people’s quality of life, automobiles have gradually become an indispensable means of transportation in people’s lives, resulting in increased traffic flow. However, the old traffic system is still unable to cope with the rapid growth of traffic pressure, and traffic congestion and various accidents occur frequently, which is a huge test for the contemporary intelligent traffic system. With the gradual develo

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Musaev, Mukhammadjon, Marat Rakhmatullaev, Sherbek Normatov, Kamoliddin Shukurov, and Malika Abdullaeva. "INTEGRATED INTELLIGENT SYSTEM FOR SCIENTIFIC AND EDUCATIONAL INFORMATION RETRIEVAL." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2 (June 22, 2024): 212–19. http://dx.doi.org/10.17770/etr2024vol2.8028.

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The relevance of creating information systems using artificial intelligence methods and tools is dictated by the following reasons: The volume of scientific and educational information is growing; Traditional information retrieval methods have exhausted themselves. Using only deterministic and iteration methods, rigid algorithms don't give the expected results. They require more time to process information and more memory. Significant progress in recent years in the development of artificial intelligence (AI) methods and systems gives hope that their use will significantly reduce the time need

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Riches, S. T., C. Johnston, M. Sousa, and P. Grant. "High Temperature Endurance of Packaged SOI Devices for Signal Conditioning and Processing Applications." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2011, HITEN (January 1, 2011): 000251–54. http://dx.doi.org/10.4071/hiten-paper8-sriches.

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Silicon on Insulator (SOI) device technology is fulfilling a niche requirement for electronics that functions satisfactorily at operating temperatures of &gt;200°C. Most of the reliability data on the high temperature endurance of the devices is generated on the device itself with little attention being paid to the packaging technology around the device. Similarly, most of the reliability data generated on high temperature packaging technologies uses testpieces rather than real devices, which restricts any conclusions on long term electrical performance. This paper presents results of high

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Ding, Jianwei. "Case Investigation Technology Based on Artificial Intelligence Data Processing." Journal of Sensors 2021 (October 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/4942657.

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Through data mining technology, the hidden information behind a large amount of data is discovered, which can help various management services and provide scientific basis for leadership decision-making. It is an important subject of current police information research. This paper conducts in-depth research on the investigation analysis and decision-making of public security cases and proposes a case-based reasoning model based on two case databases. Moreover, this paper discusses in detail the use of data mining technology to automatically establish a case database, which is a useful explorat

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Stanberry, Ben. "The legal and ethical aspects of telemedicine. 2: Data protection, security and European law." Journal of Telemedicine and Telecare 4, no. 1 (March 1, 1998): 18–24. http://dx.doi.org/10.1258/1357633981931236.

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The electronic record may be subject to abuses that can be carried out on a large scale and cause great damage. A wide range of data protection and information security measures will need to be taken to ensure the quality and integrity of such records. A European Union directive was formally adopted in 1995 which sets the obligations of those responsible for data processing as well as a number of important rights for individuals. The responsible teleconsultant or medical officer, as the data controller, must make sure these measures are enforced. In the case of the transmission of medical reco

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Li, Juan. "Application of Intelligent Archives Management Based on Data Mining in Hospital Archives Management." Journal of Electrical and Computer Engineering 2022 (April 7, 2022): 1–13. http://dx.doi.org/10.1155/2022/6217328.

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Data mining belongs to knowledge discovery, which is the process of revealing implicit, unknown, and valuable information from a large amount of fuzzy application data. The potential information revealed by data mining can help decision makers adjust market strategies and reduce market risks. The information excavated must be real and not universally known, and it can be the discovery of a specific problem. Data mining algorithms mainly include the neural network method, decision tree method, genetic algorithm, rough set method, fuzzy set method, association rule method, and so on. Archives ma

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Gagesch, Michael, Karin Edler, Patricia O. Chocano-Bedoya, Lauren A. Abderhalden, Laurence Seematter-Bagnoud, Tobias Meyer, Dominic Bertschi, et al. "Swiss Frailty Network and Repository: protocol of a Swiss Personalized Health Network’s driver project observational study." BMJ Open 11, no. 7 (July 2021): e047429. http://dx.doi.org/10.1136/bmjopen-2020-047429.

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IntroductionEarly identification of frailty by clinical instruments or accumulation of deficit indexes can contribute to improve healthcare for older adults, including the prevention of negative outcomes in acute care. However, conflicting evidence exists on how to best capture frailty in this setting. Simultaneously, the increasing utilisation of electronic health records (EHRs) opens up new possibilities for research and patient care, including frailty.Methods and analysisThe Swiss Frailty Network and Repository (SFNR) primarily aims to develop an electronic Frailty Index (eFI) from routinel

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Caskey, John, Iain L. McConnell, Madeline Oguss, Dmitriy Dligach, Rachel Kulikoff, Brittany Grogan, Crystal Gibson, et al. "Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline." JMIR Public Health and Surveillance 8, no. 3 (March 8, 2022): e36119. http://dx.doi.org/10.2196/36119.

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Background In Wisconsin, COVID-19 case interview forms contain free-text fields that need to be mined to identify potential outbreaks for targeted policy making. We developed an automated pipeline to ingest the free text into a pretrained neural language model to identify businesses and facilities as outbreaks. Objective We aimed to examine the precision and recall of our natural language processing pipeline against existing outbreaks and potentially new clusters. Methods Data on cases of COVID-19 were extracted from the Wisconsin Electronic Disease Surveillance System (WEDSS) for Dane County

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Nowakowski, S., J. Razjouyan, A. D. Naik, R. Agrawal, K. Velamuri, S. Singh, and A. Sharafkhaneh. "1180 The Use Of Natural Language Processing To Extract Data From Psg Sleep Study Reports Using National Vha Electronic Medical Record Data." Sleep 43, Supplement_1 (April 2020): A450—A451. http://dx.doi.org/10.1093/sleep/zsaa056.1174.

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Abstract Introduction In 2007, Congress asked the Department of Veteran Affairs to pay closer attention to the incidence of sleep disorders among veterans. We aimed to use natural language processing (NLP), a method that applies algorithms to understand the meaning and structure of sentences within Electronic Health Record (EHR) patient free-text notes, to identify the number of attended polysomnography (PSG) studies conducted in the Veterans Health Administration (VHA) and to evaluate the performance of NLP in extracting sleep data from the notes. Methods We identified 481,115 sleep studies u

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Gimadeev, Sh M., A. I. Latypov, S. V. Radchenko, and D. F. Khaziakhmetov. "The effect of hospital information systems on healthcare facilities efficiency indicators." Kazan medical journal 96, no. 2 (April 15, 2015): 227–33. http://dx.doi.org/10.17750/kmj2015-227.

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Aim. Comparative assessment of an automation facilities influence on labor input and business processes’ productivity indicators related to primary functions of healthcare facilities of different types.Methods. We performed medical personnel’s work timing in emergency rooms, as well as medical records timing in clinical departments. The automated electronic health records processing while operating hospital information systems created by authors among different types of healthcare facilities was also performed. Output data included personal health record operation periods values and system eve

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Kuch, R., H. U. Prokosch, J. Dudeck, and T. Bürkle. "Stepwise Evaluation of Information Systems in an University Hospital." Methods of Information in Medicine 38, no. 01 (1999): 09–15. http://dx.doi.org/10.1055/s-0038-1634150.

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Abstract:A prospective intervention study with historical control has been performed at Giessen University Hospital, Germany, to investigate the influence of electronic data processing systems on nurses’ working environment. Two wards of the medical department were selected for this study, using the combined approach of work-sampling methods and questionnaires. In the first intervention a central information system with restricted functions was introduced. For the second intervention an additional nursing information system was installed. The distribution of nurses’ worktime into the fields of

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Padirayon, Lourdes M., Melvin S. Atayan, Jose Sherief Panelo, and Carlito R. Fagela, Jr. "Mining the crime data using naïve Bayes model." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (August 1, 2021): 1084. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp1084-1092.

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<p>A massive number of documents on crime has been handled by police departments worldwide and today's criminals are becoming technologically elegant. One obstacle faced by law enforcement is the complexity of processing voluminous crime data. Approximately 439 crimes have been registered in sanchez mira municipality in the past seven years. Police officers have no clear view as to the pattern crimes in the municipality, peak hours, months of the commission and the location where the crimes are concentrated. The naïve Bayes modelis a classification algorithm using the Rapid miner auto mo

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Zhang, Si, Shan Gu, and Haiying Liu. "Cloud Application in the Construction of English Virtual Teaching Resources Based on Digital Three-Dimensional Technology." Wireless Communications and Mobile Computing 2022 (March 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/3725366.

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In order to improve the sharing effect of English teaching resources, based on digital three-dimensional technology, this paper constructs a cloud application in English virtual teaching resource database system based on digital three-dimensional technology. Moreover, this paper uses signal recognition technology to digitally process English teaching resources and establish a dynamic and changeable three-tier indicator system. In addition, this paper collects and summarizes the state data generated in the teaching operation of various departments of teaching management in real time and conduct

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Aliabadi, Ali, Abbas Sheikhtaheri, and Hossein Ansari. "Electronic health record–based disease surveillance systems: A systematic literature review on challenges and solutions." Journal of the American Medical Informatics Association 27, no. 12 (September 14, 2020): 1977–86. http://dx.doi.org/10.1093/jamia/ocaa186.

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Abstract Objective Disease surveillance systems are expanding using electronic health records (EHRs). However, there are many challenges in this regard. In the present study, the solutions and challenges of implementing EHR-based disease surveillance systems (EHR-DS) have been reviewed. Materials and Methods We searched the related keywords in ProQuest, PubMed, Web of Science, Cochrane Library, Embase, and Scopus. Then, we assessed and selected articles using the inclusion and exclusion criteria and, finally, classified the identified solutions and challenges. Results Finally, 50 studies were

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Liu, Yang, Zhaoxiang Yu, and Hua Sun. "Treatment Effect of Type 2 Diabetes Patients in Outpatient Department Based on Blockchain Electronic Mobile Medical App." Journal of Healthcare Engineering 2021 (March 1, 2021): 1–12. http://dx.doi.org/10.1155/2021/6693810.

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As the pace of people’s lives accelerates, there are more and more diabetic patients. This research mainly explores the treatment effect of type 2 diabetic patients based on blockchain electronic mobile medical app. Considering that it is more realistic to adopt an off-chain storage solution, the blockchain-based medical data sharing platform in this study adopts an off-chain storage solution. Only key information is stored in the blockchain network, and all medical data will be in the cloud space. For storage, cloud storage uses Aliyun’s OSS storage service, which can be expanded infinitely.

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Imai, Randy. "Electronic Wildlife Recovery Tool." International Oil Spill Conference Proceedings 2017, no. 1 (May 1, 2017): 914–23. http://dx.doi.org/10.7901/2169-3358-2017.1.914.

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ABSTRACT Oil spills can have significant impact on wildlife. Documenting the spatial and temporal data associated with oil spills is an important component that aids in all phases of the response. After struggling long hours to incorporate hardcopy records into a Geographic Information System (GIS), the California Department of Fish and Wildlife, Office of Spill Prevention and Response (OSPR) recognized the importance of developing a wildlife recovery application specifically designed for the Wildlife Branch within the Incident Command System (ICS). The Wildlife Recovery Application (WRA) is a

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Tebbe, B., U. Mansmann, U. Wollina, P. Auer-Grumbach, A. Licht-Mbalyohere, M. Arensmeier, and CE Orfanos. "Markers in cutaneous lupus erythematosus indicating systemic involvement. A multicenter study on 296 patients." Acta Dermato-Venereologica 77, no. 4 (July 1, 1997): 305–8. http://dx.doi.org/10.2340/0001555577305308.

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Lupus erythematosus (LE) is an autoimmune disorder, involving the skin and/or other internal organs. As cutaneous variants, chronic discoid LE (CDLE) and subacute cutaneous LE (SCLE) usually have a better prognosis, however, involvement of internal organs with transition into systemic disease may occur. The aim of this study was to assess the significance of some clinical and laboratory criteria that could serve as markers for early recognition of systemic involvement in cutaneous LE. Three hundred and seventy-nine patients with LE, seen in five cooperating Departments of Dermatology during th

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Chenais, Gabrielle, Cédric Gil-Jardiné, Hélène Touchais, Marta Avalos Fernandez, Benjamin Contrand, Eric Tellier, Xavier Combes, Loick Bourdois, Philippe Revel, and Emmanuel Lagarde. "Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study." JMIR AI 2 (January 12, 2023): e40843. http://dx.doi.org/10.2196/40843.

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Background Public health surveillance relies on the collection of data, often in near-real time. Recent advances in natural language processing make it possible to envisage an automated system for extracting information from electronic health records. Objective To study the feasibility of setting up a national trauma observatory in France, we compared the performance of several automatic language processing methods in a multiclass classification task of unstructured clinical notes. Methods A total of 69,110 free-text clinical notes related to visits to the emergency departments of the Universi

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Oshima, Isaac, Seth Paine, and Judd Muskat. "SCAT Mobile Data Collection - California's Ongoing Experience." International Oil Spill Conference Proceedings 2017, no. 1 (May 1, 2017): 2017213. http://dx.doi.org/10.7901/2169-3358-2017.1.000213.

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The California Department of Fish and Wildlife, Office of Spill Prevention and Response (OSPR) since its inception in 1991 has been collecting SCAT (Shoreline Cleanup Assessment Technique) data. OSPR, collects SCAT data based upon the SCAT forms developed by the National Oceanic and Atmospheric Administration (NOAA). Processing SCAT paper forms is a time consuming process which includes manual transcription which can be prone to error. Beginning in 2009, OSPR began using an electronic data collection application from EPDS called, Pocket SCAT®. OSPR had scheduled exercises and our last maintena

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Li, Liuqing, Jack Geissinger, William A. Ingram, and Edward A. Fox. "Teaching Natural Language Processing through Big Data Text Summarization with Problem-Based Learning." Data and Information Management 4, no. 1 (March 24, 2020): 18–43. http://dx.doi.org/10.2478/dim-2020-0003.

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AbstractNatural language processing (NLP) covers a large number of topics and tasks related to data and information management, leading to a complex and challenging teaching process. Meanwhile, problem-based learning is a teaching technique specifically designed to motivate students to learn efficiently, work collaboratively, and communicate effectively. With this aim, we developed a problem-based learning course for both undergraduate and graduate students to teach NLP. We provided student teams with big data sets, basic guidelines, cloud computing resources, and other aids to help different

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Al-Shahir, Ali Abdul Fatah. "Employ information technology capabilities in building a data warehouse Organization." Journal of University of Human Development 2, no. 1 (January 31, 2016): 273. http://dx.doi.org/10.21928/juhd.v2n1y2016.pp273-295.

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The researcher seeks in their first step of their paper to find on concept of information technology capabilities and statement types. After exhibiting the views of the writers and the researchers concerning about them.  As a second step, they present their proceeding concept for information technology capabilities.  The third step seeks to show the concept of a data warehouse and characteristics of the organization, and in the light of the views of writers and researchers as well, And ended committed to the concept of procedural to the data warehouse, as well as the data warehouse

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Gorbanev, S. A., A. N. Kulichenko, Vladimir N. Fedorov, V. M. Dubyansky, Yu A. Novikova, A. A. Kovshov, N. A. Tikhonova, and O. H. Shayahmetov. "ORGANIZATION OF AN INTERREGIONAL MONITORING SYSTEM USING GIS TECHNOLOGIES BY THE EXAMPLE OF RUSSIAN FEDERATION ARCTIC ZONE." Hygiene and sanitation 97, no. 12 (December 15, 2018): 1133–40. http://dx.doi.org/10.18821/0016-9900-2018-97-12-1133-1140.

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Development of social and hygienic monitoring (SHM) system as a means of ensuring sanitary-epidemiological wellbeing of the population of Russian Federation is one of the main activities of the Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing. The authors analyzed the current state of organization of SHM: lists of control points of human-environment factors and laboratory test findings; information collection techniques and systematization; procedural approaches to automation of data collection, processing and visualization.SHM is legally assigned to co

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Ayre, Karyn, Andre Bittar, Rina Dutta, Somain Verma, and Joyce Kam. "Identifying perinatal self-harm in electronic healthcare records using natural language processing." BJPsych Open 7, S1 (June 2021): S4—S5. http://dx.doi.org/10.1192/bjo.2021.74.

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Aims1.To generate a Natural Language Processing (NLP) application that can identify mentions of perinatal self-harm among electronic healthcare records (EHRs)2.To use this application to estimate the prevalence of perinatal self-harm within a data-linkage cohort of women accessing secondary mental healthcare during the perinatal period.MethodData source: the Clinical Record Interactive Search system. This is a database of de-identified EHRs of secondary mental healthcare service-users at South London and Maudsley NHS Foundation Trust (SLaM). CRIS has pre-existing ethical approval via the Oxfor

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Yang, Ning. "Financial Big Data Management and Control and Artificial Intelligence Analysis Method Based on Data Mining Technology." Wireless Communications and Mobile Computing 2022 (May 29, 2022): 1–13. http://dx.doi.org/10.1155/2022/7596094.

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Driven by capital and Internet information (IT) technology, the operating scale and capital scale of modern industrial and commercial enterprises and various organizations have increased exponentially. At present, the manual-based financial work model has been unable to adapt to the changing speed of the modern business environment and the business rhythm of enterprises. All kinds of enterprises and organizations, especially large enterprises, urgently need to improve the operational efficiency of financial systems. By enhancing the integrity, timeliness, and synergy of financial information,

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Stewart, Jonathon, Juan Lu, Adrian Goudie, Glenn Arendts, Shiv Akarsh Meka, Sam Freeman, Katie Walker, et al. "Applications of natural language processing at emergency department triage: A narrative review." PLOS ONE 18, no. 12 (December 14, 2023): e0279953. http://dx.doi.org/10.1371/journal.pone.0279953.

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Introduction Natural language processing (NLP) uses various computational methods to analyse and understand human language, and has been applied to data acquired at Emergency Department (ED) triage to predict various outcomes. The objective of this scoping review is to evaluate how NLP has been applied to data acquired at ED triage, assess if NLP based models outperform humans or current risk stratification techniques when predicting outcomes, and assess if incorporating free-text improve predictive performance of models when compared to predictive models that use only structured data. Methods

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Wang, Cheng, Chenlong Yao, Pengfei Chen, Jiamin Shi, Zhe Gu, and Zheying Zhou. "Artificial Intelligence Algorithm with ICD Coding Technology Guided by the Embedded Electronic Medical Record System in Medical Record Information Management." Journal of Healthcare Engineering 2021 (August 30, 2021): 1–9. http://dx.doi.org/10.1155/2021/3293457.

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The study aims to explore the application of international classification of diseases (ICD) coding technology and embedded electronic medical record (EMR) system. The study established an EMR information knowledge system and collected the data of patient medical records and disease diagnostic codes on the front pages of 8 clinical departments of endocrinology, oncology, obstetrics and gynecology, ophthalmology, orthopedics, neurosurgery, and cardiovascular medicine for statistical analysis. Natural language processing-bidirectional recurrent neural network (NLP-BIRNN) algorithm was used to opt

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Grachev, Vladimir I. "In Memory of Nikolay N. Zalogin." Radioelectronics. Nanosystems. Information Technologies. 15, no. 2 (June 29, 2023): 201–2. http://dx.doi.org/10.17725/rensit.2023.15.201.

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Information is presented about the deceased Nikolai Nikolayevich Zalogin, Ph.D., Leading Researcher in Laboratory of Physical Fundamentals of Nanocomposite Materials for Information Technology, Department of Physical Fundamentals of Nanoelectronics, Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, a well-known specialist in the field of generation of microwave noise oscillations, their application in electronic warfare, radar and processing of broadband signals based on dynamic chaos, Laureate of the USSR State Prize and two awards of the USSR Council of

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Zhai, Junhao, and Yunqiu Shi. "Design of Labor Education System in Primary and Secondary Schools Based on Big Data." Frontiers in Computing and Intelligent Systems 1, no. 3 (October 25, 2022): 48–53. http://dx.doi.org/10.54097/fcis.v1i3.2069.

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This project discloses a primary and secondary school labor education system, method, electronic equipment and storage medium based on Internet information technology. The system specifically includes: platform management unit, base/institution management unit, school management unit, education department management unit, student parent’s management unit and data processing unit. The education methods, electronic equipment and storage medium correspond to the education system. This project is based on Internet information technology and big data technology to carry out labor education for prim

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Altamimi, Mohammed. "Big Data in E-government: Classification and Prediction using Machine Learning Algorithms." Iraqi Journal of Intelligent Computing and Informatics (IJICI) 1, no. 2 (October 14, 2022): 41–55. http://dx.doi.org/10.52940/ijici.v1i2.11.

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Many countries have used big data to develop their institutions, such as Estonia in policing, India in health care, and the development of agriculture in the United Kingdom, etc. Data is very important as it is no longer oil that is the most valuable resource in the world, but data. This research examines ways to develop the Iraqi state institutions by using the big data of one of its institutions (electronic civil registry) (ECR) using the mining and analysis of this data. The pre-processing and analysis of this data are carried out depending on the needs of each institution and then using Ma

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Sobańska, Alicja. "Oddział Opracowywania Multimediów Biblioteki Raczyńskich w Poznaniu – struktura, zadania, baza programowa." Przegląd Archiwalno-Historyczny 4 (2017): 185–204. http://dx.doi.org/10.4467/2391-890xpah.17.011.14914.

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W tekście przedstawiono Oddział Opracowania Multimediów poznańskiej Biblioteki Raczyńskich z uwzględnieniem kilku parametrów: postępowania z przynależnymi zbiorami na nośnikach cyfrowych (audiobooki, filmy, muzyka, inne dokumenty elektroniczne), wykorzystywanego systemu bibliotecznego (Horizon), stosowanego formatu metadanych (MARC 21), będącego w użytku języka haseł (JHP BN) na tle języka KABA i deskryptorów Biblioteki Narodowej. The Department of Multimedia Processing at the Raczyński Library in Poznań — structure, tasks, and agenda The article discusses the Department of Multimedia Processi

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Peterson, Kelly S., Alec B. Chapman, Wathsala Widanagamaachchi, Jesse Sutton, Brennan Ochoa, Barbara E. Jones, Vanessa Stevens, David C. Classen, and Makoto M. Jones. "Automating detection of diagnostic error of infectious diseases using machine learning." PLOS Digital Health 3, no. 6 (June 7, 2024): e0000528. http://dx.doi.org/10.1371/journal.pdig.0000528.

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Diagnostic error, a cause of substantial morbidity and mortality, is largely discovered and evaluated through self-report and manual review, which is costly and not suitable to real-time intervention. Opportunities exist to leverage electronic health record data for automated detection of potential misdiagnosis, executed at scale and generalized across diseases. We propose a novel automated approach to identifying diagnostic divergence considering both diagnosis and risk of mortality. Our objective was to identify cases of emergency department infectious disease misdiagnoses by measuring the d

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Dafauti, Balam Singh. "E-Era of Jurisdiction:Empowering Traditional Courts Using Various Artificial Intelligence Tools." Asian Journal of Computer Science and Technology 7, no. 2 (August 5, 2018): 57–61. http://dx.doi.org/10.51983/ajcst-2018.7.2.1872.

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In Indian scenario, we are still in the transformation phase from manual to electronic data processing. We are in balanced combination of simple, moral, responsive and transparent governance and IT tools and techniques. However a lot of scope is still there to do more and to imply IT in various governmental departments and domains. In the same sequence we can use artificial intelligence along with cloud computing to improve Indian Judicial system. Or we can say that the concept of e-courts can be enhanced by implying AI tools and techniques. The judiciary is in the early stages of a transforma

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Alba, Patrick R., Anthony Gao, Kyung Min Lee, Tori Anglin-Foote, Brian Robison, Evangelia Katsoulakis, Brent S. Rose, et al. "Ascertainment of Veterans With Metastatic Prostate Cancer in Electronic Health Records: Demonstrating the Case for Natural Language Processing." JCO Clinical Cancer Informatics, no. 5 (September 2021): 1005–14. http://dx.doi.org/10.1200/cci.21.00030.

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PURPOSE Prostate cancer (PCa) is among the leading causes of cancer deaths. While localized PCa has a 5-year survival rate approaching 100%, this rate drops to 31% for metastatic prostate cancer (mPCa). Thus, timely identification of mPCa is a crucial step toward measuring and improving access to innovations that reduce PCa mortality. Yet, methods to identify patients diagnosed with mPCa remain elusive. Cancer registries provide detailed data at diagnosis but are not updated throughout treatment. This study reports on the development and validation of a natural language processing (NLP) algori

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Solovova, Natalia V., Yulia N. Gorbunova, and Olga Yu Kalmykova. "Digitalized continuous learning system in the company: organizational aspect." Vestnik of Samara University. Economics and Management 12, no. 4 (December 30, 2021): 145–56. http://dx.doi.org/10.18287/2542-0461-2021-12-4-145-156.

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Information and technical support of the personnel management system is gaining more and more distribution, informatization is carried out in virtually all modern companies without exception. As a rule, in most companies, they primarily automate the functions of personnel records management and administration. These areas are associated with the storage and processing of information about employees: personal files, work books, employment contracts, data on the movement of personnel, payroll. Information technologies can be used not only for processing large amounts of data, but also for their

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Ou, Dongxiu, Yuqing Ji, Lei Zhang, and Hu Liu. "An Online Classification Method for Fault Diagnosis of Railway Turnouts." Sensors 20, no. 16 (August 17, 2020): 4627. http://dx.doi.org/10.3390/s20164627.

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Railway turnout system is a key infrastructure to railway safety and efficiency. However, it is prone to failure in the field. Therefore, many railway departments have adopted a monitoring system to monitor the operation status of turnouts. With monitoring data collected, many researchers have proposed different fault-diagnosis methods. However, many of the existing methods cannot realize real-time updating or deal with new fault types. This paper—based on imbalanced data—proposes a Bayes-based online turnout fault-diagnosis method, which realizes incremental learning and scalable fault recogn

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Coulibaly, Moussa, Ahmed Errami, Sofia Belkhala, and Hicham Medromi. "A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment." Energies 14, no. 7 (March 25, 2021): 1827. http://dx.doi.org/10.3390/en14071827.

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Smart Parking is essential for any future smart cities due to the tremendous growth of the car fleet. Such infrastructures require a certain amount of equipment. Indeed, smart parking integrates a lot of actors, to manage the parking its equipment must be managed accordingly. Here, is proposed a distributed architecture to manage them by collecting efficiently their data. Two types of data relating to the parking must be collected: those coming from the deployed equipment in the parking and those coming from the internet due to remote users. Thus, a system of two main servers based on the mult

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