Academic literature on the topic 'Medical Text'

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Journal articles on the topic "Medical Text"

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Gafurov, Bakhtiyor. "MEDICAL TERMINOLOGY IN ADVERTISING TEXT." Scientific Reports of Bukhara State University 5, no. 3 (2021): 30–40. http://dx.doi.org/10.52297/2181-1466/2021/5/3/3.

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Background. The article is dedicated to advertising text, which widely uses medical terminology. Advertising text, in which medical vocabulary is widely used, has its own specific character. The content of pharmaceutical advertising texts is enriched with a wide range of medical terminology and helps the consumer to know what is for what or what is for what. Undoubtedly, the text of advertising for pharmaceutical products can serve as a widespread dissemination of the advertised drug among the population. Taking into account the demand, interests, sometimes the individual desire of consumers,
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Broom, M. A., G. T. Adamson, and L. R. Draper. "Text Messaging in Medical Education." PEDIATRICS 133, no. 3 (2014): e491-e493. http://dx.doi.org/10.1542/peds.2013-1529.

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De Marco, Barbara. "Philology and the Medical Text." Romance Philology 71, no. 2 (2017): iii—iv. http://dx.doi.org/10.1484/j.rph.5.114783.

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Macgregor, A. J. "Medical law: Text and materials." Journal of Dentistry 19, no. 3 (1991): 188. http://dx.doi.org/10.1016/0300-5712(91)90015-q.

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McHale, J. V. "Medical law: text with materials." Journal of Medical Ethics 21, no. 5 (1995): 314–15. http://dx.doi.org/10.1136/jme.21.5.314-a.

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Smith, A. M. "Medical Law: Text and Materials." Journal of Medical Ethics 16, no. 4 (1990): 220. http://dx.doi.org/10.1136/jme.16.4.220.

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Wall, Michael. "Medical terminology: A programmed text." Nurse Education Today 8, no. 4 (1988): 244. http://dx.doi.org/10.1016/0260-6917(88)90159-1.

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Scollon, Ron. "Food and behavior: A Burkean motive analysis of a quasi-medical text." Text & Talk - An Interdisciplinary Journal of Language, Discourse Communication Studies 26, no. 1 (2006): 107–25. http://dx.doi.org/10.1515/text.2006.005.

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Rossi, Maria Grazia, Fabrizio Macagno, and Sarah Bigi. "Dialogical functions of metaphors in medical interactions." Text & Talk 42, no. 1 (2021): 77–103. http://dx.doi.org/10.1515/text-2019-0166.

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Abstract This paper proposes a method for analyzing the dialogical functions of metaphors in communicative interactions, and more specifically in the context of medical interviews. The dialogical goals proposed and pursued by the interlocutors are coded using a coding scheme that captures seven mutually exclusive categories of dialogical moves. The functions of the moves, including metaphors, can be identified and correlated with other variables relevant to the type of communication under analysis. The coding scheme is used to analyze a corpus of 39 interactions between healthcare providers an
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Collen, M. F. "Full-text medical literature retrieval by computer. A pilot test." JAMA: The Journal of the American Medical Association 254, no. 19 (1985): 2768–74. http://dx.doi.org/10.1001/jama.254.19.2768.

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Dissertations / Theses on the topic "Medical Text"

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Drusiani, Alberto. "Deep Learning Text Classification for Medical Diagnosis." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17281/.

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The ICD coding is the international standard for the classification of diseases and related disorders, drawn up by the World Health Organization. It was introduced to simplify the exchange of medical data, to speed up statistical analyzes and to make insurance reimbursements efficient. The manual classification of ICD-9-CM codes still requires a human effort that implies a considerable waste of resources and for this reason several methods have been presented over the years to automate the process. In this thesis an approach is proposed for the automatic classification of medical diagnoses i
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Sætre, Rune. "GeneTUC: Natural Language Understanding in Medical Text." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-545.

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<p>Natural Language Understanding (NLU) is a 50 years old research field, but its application to molecular biology literature (BioNLU) is a less than 10 years old field. After the complete human genome sequence was published by Human Genome Project and Celera in 2001, there has been an explosion of research, shifting the NLU focus from domains like news articles to the domain of molecular biology and medical literature. BioNLU is needed, since there are almost 2000 new articles published and indexed every day, and the biologists need to know about existing knowledge regarding their own researc
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Neamatullah, Ishna. "Automated de-identification of free-text medical records." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/41622.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (p. 62-64).<br>This paper presents a de-identification study at the Harvard-MIT Division of Health Science and Technology (HST) to automatically de-identify confidential patient information from text medical records used in intensive care units (ICUs). Patient records are a vital resource in medical research. Before such records can be made available for research studies, protected health information (PHI) must be thoroughly scrubbed accord
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Savkov, Aleksandar Dimitrov. "Deciphering clinical text : concept recognition in primary care text notes." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/68232/.

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Electronic patient records, containing data about the health and care of a patient, are a valuable source of information for longitudinal clinical studies. The General Practice Research Database (GPRD) has collected patient records from UK primary care practices since the late 1980s. These records contain both structured data (in the form of codes and numeric values) and free text notes. While the structured data have been used extensively in clinical studies, there are significant practical obstacles in extracting information from the free text notes. The main obstacles are data access restri
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Shu, Jennifer (Jennifer J. ). "Free text phrase encoding and information extraction from medical notes." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/37064.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 87-90).<br>The Laboratory for Computational Physiology is collecting a large database of patient signals and clinical data from critically ill patients in hospital intensive care units (ICUs). The data will be used as a research resource to support the development of an advanced patient monitoring system for ICUs. Important pathophysiologic events in the patient data streams must be recognized and annotated by expert clinicians in order
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Leroy, Gondy, Hsinchun Chen, Jesse D. Martinez, et al. "Genescene: Biomedical Text And Data Mining." Wiley Periodicals, Inc, 2005. http://hdl.handle.net/10150/105791.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from text and experimental data. These provide a more detailed overview of the information available. The extracted relations were evaluated by qualified researchers and are precise. A qualitative ongoing evaluation of the current online interface indicates that this m
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Civera, Saiz Jorge. "An evaluation of alternative strategies for clustering genes from medical text." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/8664.

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Leong, Elaine. "Medical recipe collections in seventeenth-century England : knowledge, text and gender." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432177.

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Finch, Dezon K. "TagLine: Information Extraction for Semi-Structured Text Elements In Medical Progress Notes." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4321.

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Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in semi-structure text elements. A prototype system (TagLine) was developed as a method for extracting information from the semi-structured portions of text using machine learning. Features for the learning machine were suggested by prior work, as well as by
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Nääs, Johanna, and Emma Thurfjell. "Språklig komplexitet och narrativ struktur i skriven text : En jämförelse mellan elever med och utan lässvårigheter." Thesis, Umeå universitet, Logopedi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148330.

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Sammanfattnin Bakgrund I årskurs 3 i svenska grundskolan skrivs Nationella proven i svenska och ett av delproven är att skriva en berättande (narrativ) text. När berättande texter analyseras i forskning kan språklig komplexitet och narrativ struktur undersökas. Att undersöka vilka delar i skrivandet som kan vara svårt är av värde för att kunna anpassa undervisning för olika elevgrupper. Syfte Syftet med föreliggande studie var att undersöka språklig komplexitet och narrativ struktur i texter skrivna av elever med och utan lässvårigheter. Metod I studien deltog 63 elever. Dess
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Books on the topic "Medical Text"

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Prendergast, Alice. Medical terminology: A text/workbook. 3rd ed. Addison/Wesley Nursing, 1991.

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Prendergast, Alice. Medical terminology: A text/workbook. 3rd ed. Addison/Wesley Nursing, 1991.

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Kennedy, Ian. Medical law: Text and materials. Butterworths, 1989.

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E, Davis Phyllis, and Dennerll Jean Tannis, eds. Medical terminology: A programmed text. 5th ed. Wiley, 1988.

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Smith, Genevieve Love. Medical terminology: A programmed text. 6th ed. Delmar Publishers, 1991.

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Kennedy, Ian. Medical law: Text and materials. Butterworths, 1989.

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Prendergast, Alice. Medical terminology: A text/workbook. 4th ed. Addison-Wesley, 1997.

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E, Davis Phyllis, and Dennerll Jean Tannis, eds. Medical terminology: A programmed text. 7th ed. Delmar Publishers, 1995.

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Andrew, Grubb, ed. Medical law: Text with materials. 2nd ed. Butterworths, 1994.

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Kern, Martha E. Medical mycology: A self-instructional text. 2nd ed. F.A. Davis, 1997.

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Book chapters on the topic "Medical Text"

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McIntosh, Judy. "Medical text extracts and corrections." In Text Therapeutics. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0773-3_1.

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Dalianis, Hercules. "Medical Classifications and Terminologies." In Clinical Text Mining. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78503-5_5.

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Irwin, Terry, Julie Terberg, and Echo Swinford. "Adding shapes, lines, and text." In Medical Presentations. CRC Press, 2024. http://dx.doi.org/10.1201/9781003287902-8.

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Morel-Guillemaz, Anne-Marie, Robert H. Baud, and Jean-Raoul Scherrer. "Proximity Processing of Medical Text." In Medical Informatics Europe ’90. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-51659-7_117.

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Collen, Morris F. "Processing Text in Medical Databases." In Health Informatics. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-962-8_3.

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Soleimani Neysiani, Behzad, and Hassan Homayoun. "Medical Text and Image Processing." In Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications. CRC Press, 2022. http://dx.doi.org/10.1201/9781003226147-4.

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Pilegaard, Morten. "Translation of medical research articles." In Text Typology and Translation. John Benjamins Publishing Company, 1997. http://dx.doi.org/10.1075/btl.26.13pil.

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Trancoso, Isabel, Joana Correia, Francisco Teixeira, Bhiksha Raj, and Alberto Abad. "Speech Analytics for Medical Applications." In Text, Speech, and Dialogue. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00794-2_3.

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Fryer, Daniel Lees. "Voices in the Text." In Engagement in Medical Research Discourse. Routledge, 2021. http://dx.doi.org/10.4324/9781003041146-2.

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Stauch, Marc, and Kay Wheat. "Medical research." In Text, Cases and Materials on Medical Law and Ethics. Routledge, 2018. http://dx.doi.org/10.4324/9781315168326-10.

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Conference papers on the topic "Medical Text"

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N, Neha Shree, and Jothish Kumar M. "Biomedical Text Summarization for Medical Insights." In 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2025. https://doi.org/10.1109/icoei65986.2025.11013743.

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Sasikala, D., R. Sudarshan, and S. Sivasathya. "Harnessing LLMs for Medical Insights:NER Extraction from Summarized Medical Text." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724860.

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Ozyegen, Lara, Mucahit Cevik, and Ayse Basar. "Transformer-Based Text Highlighting for Medical Terms." In 2024 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON). IEEE, 2024. https://doi.org/10.1109/cascon62161.2024.10837964.

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Nitu, Nicolae, Andy Catruna, and Emilian Radoi. "Romanian Speech-to-Text Transcription for Medical Applications." In 2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2024. https://doi.org/10.1109/iccp63557.2024.10793032.

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Xie, Yiqing, Sheng Zhang, Hao Cheng, et al. "DocLens: Multi-aspect Fine-grained Medical Text Evaluation." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.39.

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Yogendra Prasad, P., M. Ramu, Manasa Sonta, Reddy Sathvika Thunga, Mohammed Sadiq Shaik, and Muskan Shaik. "Ensemble Medical Text Summarization Using PEGASUS And BART." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11035606.

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Lyu, Chen, and Gabriele Pergola. "Society of Medical Simplifiers." In Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.tsar-1.7.

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Wen, Nuan. "Scene Text Detection in Medical Based on Differentiable Binarization." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847482.

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Chen, Yinan. "Sentiment Analysis of Medical Text Based on Deep Learning." In 2024 9th International Symposium on Computer and Information Processing Technology (ISCIPT). IEEE, 2024. http://dx.doi.org/10.1109/iscipt61983.2024.10673026.

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Dong, Aimei, Jingyuan Xu, Long Wang, Guohua Lv, Guixin Zhao, and Jinyong Cheng. "TDMF: Text-Guided Denoising and Interactive Medical Image Fusion." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889309.

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Reports on the topic "Medical Text"

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Ma, Yue, and Felix Distel. Learning Formal Definitions for Snomed CT from Text. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.193.

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Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. Existing approaches for ontology generation mostly focus on learning superclass or subclass relations and therefore fail to be used to generate Snomed CT definitions. In this paper, we present an approach for the extraction of Snomed CT definitions from natural language texts, based on the distance relation extraction approach. By benefiting from a relatively large amount
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Angouri, Jo, Shawnea S. P. Ting, Lyba Nadeen, Matthew Booker, David Rawlinson, and Nigel Rees. Landscaping risk in medical emergency dispatch. University of Warwick, 2024. http://dx.doi.org/10.31273/9781911675181.

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Risk communication in high-stakes or time-pressured situations is complex. An emergency '999' call is one such example of a situation of where someone needs to find a way to explain an unfolding, serious situation and request immediate help. The emergency service needs to quickly and precisely ascertain what has happened, what help is needed and where to send it. This booklet is based on research work and collaboration with the Welsh Ambulance Service and Emergency Medical Retrieval and Transfer Service (EMRTS). Diagrams draw on the local service architecture and are intended to be read as a c
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Sentcоv, Valentin, Andrei Reutov, and Vyacheslav Kuzmin. Electronic training manual "Acute poisoning with alcohols and alcohol-containing liquids". SIB-Expertise, 2024. http://dx.doi.org/10.12731/er0778.29012024.

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In the structure of acute poisonings, ethanol poisoning currently accounts, according to various sources, from 10 to 20%. The mortality rate in poison control centers for ethanol poisoning is 1-2%, but the mortality rate is much higher due to those who died before medical care was provided. The widespread use of methanol and ethylene glycol in various industries and the high mortality rate with late recognition of poisoning with these alcohols determine the high relevance of a detailed study of the clinic, diagnosis and treatment of these poisonings by doctors of various specialties. In partic
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Zhang, Yong. Efficacy and safety of corticosteroid therapy in patients with cardiac arrest: a meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.1.0014.

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Review question / Objective: Our goal was to assess the effect of primary treatment outcome (overall survival rate at hospital discharge, rate of sustained ROSC) and secondary outcomes (favorable neurological outcomes at hospital discharge and adverse events including hyperglycemia, insulin infusion, hypernatremia, infection, gastrointestinal bleeding, new or changing antibiotics, paresis, renal failure). Information sources: Two researchers (Zhou FW and Liu C) independently searched the PubMed, Embase, The Cochrane Library, Web of Science and China National Knowledge Internet (CNKI) databases
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Kuzmin, Vyacheslav, Alebai Sabitov, Andrei Reutov, Vladimir Amosov, Lidiia Neupokeva, and Igor Chernikov. Electronic training manual "Providing first aid to the population". SIB-Expertise, 2024. http://dx.doi.org/10.12731/er0774.29012024.

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First aid represents the simplest urgent measures necessary to save the lives of victims of injuries, accidents and sudden illnesses. Providing first aid greatly increases the chances of salvation in case of bleeding, injury, cardiac and respiratory arrest, and prevents complications such as shock, massive blood loss, additional displacement of bone fragments and injury to large nerve trunks and blood vessels. This electronic educational resourse consists of four theoretical educational modules: legal aspects of providing first aid to victims and work safety when providing first aid; providing
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Fatehifar, Mohsen, Josef Schlittenlacher, David Wong, and Kevin Munro. Applications Of Automatic Speech Recognition And Text-To-Speech Models To Detect Hearing Loss: A Scoping Review Protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.1.0029.

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Review question / Objective: This scoping review aims to identify published methods that have used automatic speech recognition or text-to-speech recognition technologies to detect hearing loss and report on their accuracy and limitations. Condition being studied: Hearing enables us to communicate with the surrounding world. According to reports by the World Health Organization, 1.5 billion suffer from some degree of hearing loss of which 430 million require medical attention. It is estimated that by 2050, 1 in every 4 people will experience some sort of hearing disability. Hearing loss can si
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DiGrande, Laura, Christine Bevc, Jessica Williams, Lisa Carley-Baxter, Craig Lewis-Owen, and Suzanne Triplett. Pilot Study on the Experiences of Hurricane Shelter Evacuees. RTI Press, 2019. http://dx.doi.org/10.3768/rtipress.2019.rr.0035.1909.

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Community members who evacuate to shelters may represent the most socially and economically vulnerable group within a hurricane’s affected geographic area. Disaster research has established associations between socioeconomic conditions and adverse effects, but data are overwhelmingly collected retrospectively on large populations and lack further explication. As Hurricane Florence approached North Carolina in September 2018, RTI International developed a pilot survey for American Red Cross evacuation shelter clients. Two instruments, an interviewer-led paper questionnaire and a short message s
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Sandeep, Bhushan, xin Huang, and Zongwei Xiao. Analgesic efficacy of erector spinae plane block in arthroscopic shoulder surgery: a systemic review and meta-analysis of randomised controlled trial. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0084.

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Review question / Objective: Erector spinae plane block (ESPB) has been employed in arthroscopic shoulder surgery (ASS) as an alternative novel interfacial plane block. However, its analgesic efficacy is still controversial. Whether ESPB could improve analgesic efficacy in ASS is what the current meta-analysis seeks to find out. Information sources: We searched different databases including the Cochrane Library, PubMed, Embase, and Web of Science from inception to November 29, 2022, using medical subject headings (MeSH) and free-text terms without language restrictions. The primary purpose of
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Qu, Pengda, Jing Huang, Shiqi Wang, et al. Efficacy and safety of modified Ermiao decoction in the treatment of gouty arthritis: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.7.0063.

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Review question / Objective: The purpose of this study is to comprehensively evaluate the efficacy and safety of modified Ermiao decoction in the treatment of gouty arthritis. Information sources: We will conduct searches of Web of Science, PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (Wanfang), Weipu Chinese Science and Technology Journal Full-text Database (VIP), and Chinese Biomedical Literature Database (CBM) from their inception to July 2022. In addition, trial registration platforms will also be searched for ong
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Lebedenko, Nataliia. Комунікативні дієслова в текстах новинних повідомлень (за матеріалами інформаційного агентства «Укрінформ»). Ivan Franko National University of Lviv, 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11743.

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The article is devoted to the analysis of communicative verbs. Scientists analyzed communicative verbs in artistic texts, in biblical texts, and fairy tales. But there are no scientific works on verbs of speech in the language of the media. The Ukrainian language has all the means by which you can create a concrete and imaginative informational text. It is the verbs that make the text come alive. These are action words that improve the orality of the text. The research is based on the materials of the Ukrinform information agency. Speech verbs from 10 news reports for December 3, 2022 were ana
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