Relevant bibliographies by topics / Clinical data structure

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Clinical data structure'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Clinical data structure"

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Kulikov, E. S., O. S. Fedorova, I. V. Tolmachev, et al. "Russian-language repository of the open clinical data “SibMED Data Clinical Repository”." Bulletin of Siberian Medicine 22, no. 2 (2023): 182–84. http://dx.doi.org/10.20538/1682-0363-2023-2-182-184.

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The global digitalization has become one of the most significant challenges in the field of medicine and healthcare. The rapid development of digital technologies determines the growing demand for constant access to big data in real time Their use is in need for research and technological projects in the sphere of artificial intelligence technologies development. Siberian State Medical University developed the first Russian-language repository of clinical data “SibMed Data Clinical Repository” (https://dataset.ssmu.ru/). The article describes the structure, functions of the repository, and per
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O. P. Kuchuk, D. V. Pronyayev, and T. B. Sykyrytsʹka. "CLINICAL ANATOMY OF THE EYE SOCKET." Clinical anatomy and operative surgery 17, no. 2 (2018): 84–93. http://dx.doi.org/10.24061/1727-0847.17.2.2018.15.

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Scientific literature review deals with the issues concerning the peculiarities of the eye socket clinical anatomy. Both common data concerning the peculiarities of the eye socket structure and the results of certain modern studies have been analyzed and structured, which will be useful for both students, teachers and practicing physicians. All the names of anatomical structures are given according to the International Anatomical Nomenclature in the Ukrainian language with Latin equivalents.
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Saver, Jeffrey L., Steven Warach, Scott Janis, et al. "Standardizing the Structure of Stroke Clinical and Epidemiologic Research Data." Stroke 43, no. 4 (2012): 967–73. http://dx.doi.org/10.1161/strokeaha.111.634352.

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Makai, Diána, András Cseh, Adél Sepsi, and Szabolcs Makai. "A Multigraph-Based Representation of Hi-C Data." Genes 13, no. 12 (2022): 2189. http://dx.doi.org/10.3390/genes13122189.

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Chromatin–chromatin interactions and three-dimensional (3D) spatial structures are involved in transcriptional regulation and have a decisive role in DNA replication and repair. To understand how individual genes and their regulatory elements function within the larger genomic context, and how the genome reacts to environmental stimuli, the linear sequence information needs to be interpreted in three-dimensional space, which is still a challenging task. Here, we propose a novel, heuristic approach to represent Hi-C datasets by a whole-genomic pseudo-structure in 3D space. The baseline of our a
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Klein, Arno, and Satrajit Ghosh. "Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data." Research Ideas and Outcomes 2 (April 21, 2016): e8835. https://doi.org/10.3897/rio.2.e8835.

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The proposed research develops new computational tools to identify, diagnose, and predict treatment outcome for different mental illnesses. The research will be applied first to major depressive disorder, which affects millions of Americans, but is intended to be applied to any mental illness, such as Alzheimer's disease, bipolar disorder, schizophrenia – indeed to analyze differences in brain structure, activity, or connectivity between any two populations.
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Rohr, Nadja, Blerta Hoda, and Jens Fischer. "Surface Structure of Zirconia Implants: An Integrative Review Comparing Clinical Results with Preclinical and In Vitro Data." Materials 15, no. 10 (2022): 3664. http://dx.doi.org/10.3390/ma15103664.

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Background: The purpose of this review was to analyze and correlate the findings for zirconia implants in clinical, preclinical and in vitro cell studies in relation to surface structure. Methods: Electronic searches were conducted to identify clinical, preclinical and in vitro cell studies on zirconia implant surfaces. The primary outcomes were mean bone loss (MBL) for clinical studies, bone-to-implant contact (BIC) and removal torque (RT) for preclinical studies and cell spreading, cell proliferation and gene expression for cell studies. The secondary outcomes included comparisons of data fo
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Chiu, Alec M., Erin K. Molloy, Zilong Tan, Ameet Talwalkar, and Sriram Sankararaman. "Inferring population structure in biobank-scale genomic data." American Journal of Human Genetics 109, no. 4 (2022): 727–37. http://dx.doi.org/10.1016/j.ajhg.2022.02.015.

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Hoverman, J. Russell. "So Much Data, So Little Knowledge: Using Formal Logic to Aggregate Data and Interpret Information." American Society of Clinical Oncology Educational Book, no. 38 (May 2018): e2-e5. http://dx.doi.org/10.1200/edbk_209527.

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Formal logic is the use of symbols to structure how we make inferences such that the structure can be applied beyond specific cases. The structure of clinical trials and the values equation (value = outcomes/cost) lend themselves to evaluation using formal logic. Doing this demonstrates the unique position of randomized clinical trials as a defensible format for gathering information and identifies the shortcomings of historical controls and meta-analyses and retrospective studies using large databases. A practical example using literature on maintenance therapy in metastatic colorectal cancer
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Astrid, M. "The Structure of Data in Medical Records." Yearbook of Medical Informatics 04, no. 01 (1995): 61–70. http://dx.doi.org/10.1055/s-0038-1638021.

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Abstract:With the growing complexity of health care, patient data are more and more in demand for purposes such as research, education, postmarketing surveillance, quality assessment, and outcome analysis. Many of these purposes require patient data to be available in a structured, electronic format. Despite the rapid advances in computer technology, which allow patient data to be organized, analyzed, and shared, the majority of physicians still use paper medical records. Apparently, most physicians still perceive the paper record as being more suitable for their task than present day computer
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Joseph, Tyler A., and Itsik Pe’er. "Inference of Population Structure from Time-Series Genotype Data." American Journal of Human Genetics 105, no. 2 (2019): 317–33. http://dx.doi.org/10.1016/j.ajhg.2019.06.002.

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Dissertations / Theses on the topic "Clinical data structure"

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Fiterau, Madalina. "Discovering Compact and Informative Structures through Data Partitioning." Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/792.

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In many practical scenarios, prediction for high-dimensional observations can be accurately performed using only a fraction of the existing features. However, the set of relevant predictive features, known as the sparsity pattern, varies across data. For instance, features that are informative for a subset of observations might be useless for the rest. In fact, in such cases, the dataset can be seen as an aggregation of samples belonging to several low-dimensional sub-models, potentially due to different generative processes. My thesis introduces several techniques for identifying sparse predi
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De, Lusignan Simon. "Overcoming the barriers to the recording of structured clinical data in general practice computer systems." Thesis, University of London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.511901.

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Odondi, Lang'O. "Causal modelling of survival data with informative noncompliance." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/causal-modelling-of-survival-data-with-informative-noncompliance(74f40dc0-e5d1-46c0-ab2f-ac42a3425ac7).html.

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Noncompliance to treatment allocation is likely to complicate estimation of causal effects in clinical trials. The ubiquitous nonrandom phenomenon of noncompliance renders per-protocol and as- treated analyses or even simple regression adjustments for noncompliance inadequate for causal inference. For survival data, several specialist methods have been developed when noncompliance is related to risk. The Causal Accelerated Life Model (CALM) allows time-dependent departures from randomized treatment in either arm and relates each observed event time to a potential event time that would have bee
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TRUSSONI, FRANCESCA. "I fattori di rischio e protettivi al disagio scolastico in adolescenza: l'analisi multivariata dei dati su uno studio longitudinale." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/8744.

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This work explores the evolution of psychological variables that evaluate adolescents’ experience of school aiming to study (and prevent) drop-out. Data from a 3-wave longitudinal panel (N = 235, measured at 12, 15 and 17 years of age) were used to estimate a structural equations model with the same observed variables, scales adapted from another longitudinal study (Borricua Chidren Interview, Bird, 2006), in the three waves as indicators of risk or protection factors with the factors linked over time predicting school experience of the adolescents. A specific questionnaire, S.I.D (Self
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Hawkins, Misty Anne. "Affective traits and adiposity : a prospective, bidirectional analysis of the African American Health study data." Thesis, Proquest, 2013. http://hdl.handle.net/1805/4840.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Research indicates that negative affective traits (e.g., depression) are predictors and consequences of excess adiposity. Given that racial minorities and positive affective traits have been underrepresented in past investigations, more prospective studies are needed which examine multiple affective traits in relation to obesity in these populations. The objective of the current study was to investigate the prospective, bidirectional associations between multiple affective traits and multiple adiposity indicators in African America
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Ghous, Hamid. "Building a robust clinical diagnosis support system for childhood cancer using data mining methods." Thesis, 2016. http://hdl.handle.net/10453/90061.

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University of Technology Sydney. Faculty of Engineering and Information Technology.<br>Progress in understanding core pathways and processes of cancer requires thorough analysis of many coding and noncoding regions of the genome. Data mining and knowledge discovery have been applied to datasets across many industries, including bioinformatics. However, data mining faces a major challenge in its application to bioinformatics: the diversity and dimensionality of biomedical data. The term ‘big data’ was applied to the clinical domain by Yoo et al. (2014), specifically referring to single nucleoti
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Nouri, Golmaei Sara. "Improving the Performance of Clinical Prediction Tasks by using Structured and Unstructured Data combined with a Patient Network." Thesis, 2021. http://dx.doi.org/10.7912/C2/41.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>With the increasing availability of Electronic Health Records (EHRs) and advances in deep learning techniques, developing deep predictive models that use EHR data to solve healthcare problems has gained momentum in recent years. The majority of clinical predictive models benefit from structured data in EHR (e.g., lab measurements and medications). Still, learning clinical outcomes from all possible information sources is one of the main challenges when building predictive models. This work focuses mainly on two sources of information
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Lai, Hung-Chun, and 賴弘鈞. "A Web Based Telemedicine System Based on N-tiered Database Structure and Data Mining Techonology-a Network Clinic and Medical Distant Learning System." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/60236740346238745843.

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碩士<br>國立臺灣大學<br>電機工程學系研究所<br>86<br>Abstract Keywords : World Wide Web (WWW) , Network Clinic , Computer-Aided Ins tructional system (CAI) , N-tiered Structure , Data Mining Medical informatics have been the most promising topic in both medical and computer field for yea rs. Recently, many are engaged in the research of Web-based telemedicine syste m and some new ideas are proposed, such as network clinic and medical distant learning system. These systems, however, are not of practical use now because the
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Mazzieri, Marinella, Giovanni Michetti, and Gaetana Cognetti. "Definizione, recupero e struttura del protocollo clinico : analisi e riflessioni per una condivisione dell'informazione biomedica su Web." Thesis, 2003. http://eprints.rclis.org/5214/1/tesi_op_arch.zip.

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Internet has led to new systems of information retrieval and diffusion in all fields, also in medicine. Health workers, patients and citizens can freely have access - on the Net - to useful information resources, like those concerning clinical protocols.
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Yang, Lili. "Joint models for longitudinal and survival data." Thesis, 2014. http://hdl.handle.net/1805/4666.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Epidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processes and their association with the onset of clinical symptoms. In the first part of this thesis, we proposed to use bivariate change point models for two longitudinal outcomes with a focus on estimating the correlation between the two change points. We adopted a Bayesian approach for parameter estimation and inference. In the second par
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Books on the topic "Clinical data structure"

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Fitzgerald, Eamonn G. Impact of information technology on the organisational structure and design of Beaumont Hospital with particular reference to clinical support services. University College Dublin, 1994.

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International Fraxiparine Symposium (1st 1987 Paris, France). Fraxiparine: First international symposium : analytical and structural data, pharmacology, clinical trials. Edited by Fareed Jawed, Samama Meyer M, and Breddin K. 1928-. Schattauer, 1989.

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Mirsaev, Timur. MEANS FOR IMPROVING ADHESION OF REMOVABLE DENTAL PROSTHESIS STRUCTURES. TIRAZH Publishing House, 2020. http://dx.doi.org/10.18481/978-5-89895-941-8.

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The data of modern research on adaptation processes and our own research on ways to improve adaptation to removable dentures are summarized. The material is illustrated by drawings. The manual is intended for students of dental faculties, clinical residents, graduate students, teachers and dentists.
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Tral’, Tat’yana, Gulrukhsor Tolibova, Igor Kogan, and Anna Olina. Embryo losses. Atlas. Publishing Center RIOR, 2023. http://dx.doi.org/10.29039/978-5-907218-78-9.

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Histologic examination of abortive material is the basic approach to identify the etiology of miscarriage. Morphological diagnostics in case of embryo loss makes it possible to draw up the plan to fully prepare the woman for future pregnancy, whether spontaneous or after fertility treatment, increasing the chance of a favorable outcome. This educational book contains the data from various studies of the endometrium and abortive material undertaken at the Ott Research Institute of Obstetrics, Gynecology and Reproductology. Histology illustrations are supplemented with images of immunohistochemi
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L, Commons Michael, and Symposium on Quantitative Analyses of Behavior. (8th : 1985 : Harvard University), eds. Computational and clinical approaches to pattern recognition and concept formation. Lawrence Erlbaum Associates, 1990.

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Thomas, James, and Tanya Monaghan. Oxford Handbook of Clinical Examination and Practical Skills. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199593972.001.0001.

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Fully updated and revised for this second edition, the Oxford Handbook of Clinical Examination and Practical Skills is a guide to all aspects of history taking, physical examination, practical procedures, data interpretation, and communication skills. Packed with expert knowledge and practical guidance it gives realistic advice on coping with common situations. The structure allows rapid reference of key information, and aids understanding with concise and practical clinical guidance. With over 140 detailed photographs and diagrams of all common examination skills, it shows exactly what to do
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Breddin, K., and J. Fareed. Fraxiparine: First International Symposium; Analytical and Structural Data, Pharmacology, Clinical Trials. John Wiley & Sons Inc, 1989.

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Breddin, K., M. M. Samama, and J. Fareed. Fraxiparine: First International Symposium, Analytical and Structural Data, Pharmacology, Clinic. John Wiley & Sons, 1989.

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Oscar-Berman, Marlene, Trinity A. Urban, and Avram J. Holmes. Effects of Alcoholism on Neurological Function and Disease in Adulthood. Edited by Kenneth J. Sher. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199381708.013.22.

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Alcoholism is associated with disparate and widespread negative consequences for brain anatomy and function. Consistent with a diffuse neurobiological profile, alcoholism is marked by a heterogeneous mix of cognitive and emotional abnormalities. Alcohol use disorders arise through diverse origins and follow an uncertain clinical course, with severity and consequences depending on many factors. The identification of specific alcoholism-related deficits is constrained both by methodological techniques employed and the distinct populations studied. To understand alcoholism-related alterations in
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Piechowski, Lisa Drago. Report Writing and Testimony. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780195341096.003.0007.

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This chapter focuses on report writing and testimony as part of disability evaluation. More specifically, it explains how to organize a report, what information should (and should not) be included, the required level of detail, and the effective response to referral questions. It also highlights the importance of accurate communication of information. The chapter first discusses the purpose of a written report in evaluations of disability and the organizational structure of the forensic report before turning to the information that must be included in the evaluation report. It presents an exam
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Book chapters on the topic "Clinical data structure"

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Reboussin, David M., and Dave L. DeMets. "Data Monitoring: Structure for Clinical Trials and Sequential Monitoring Procedures." In Biopharmaceutical Applied Statistics Symposium. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7829-3_9.

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Lorenzi, Marco, Marie Deprez, Irene Balelli, Ana L. Aguila, and Andre Altmann. "Integration of Multimodal Data." In Machine Learning for Brain Disorders. Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_19.

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AbstractThis chapter focuses on the joint modeling of heterogeneous information, such as imaging, clinical, and biological data. This kind of problem requires to generalize classical uni- and multivariate association models to account for complex data structure and interactions, as well as high data dimensionality.Typical approaches are essentially based on the identification of latent modes of maximal statistical association between different sets of features and ultimately allow to identify joint patterns of variations between different data modalities, as well as to predict a target modalit
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Lang, Nicole. "Challenges in Establishing the Clinical Trials Centre at the University of Ulm." In Improving Oncology Worldwide. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96053-7_11.

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AbstractA Clinical Trials Centre (CTC) is an institution that unites experts and expertise for successful designing, conducting and publishing of clinical trials. It provides competence and the infrastructure required for conducting clinical trials in compliance with international and national regulations, guidelines and standards, ICH GCP (good clinical practice) and the Declaration of Helsinki. Mostly, the CTCs are institutions of the Medical Faculty of the University or the University Hospitals, sometimes both. In Germany, after passing an audit providing reassurance of compliance with requ
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Bayo-Montón, Jose Luis, Begoña Martínez-Salvador, Carlos Fernández-Llatas, and Mar Marcos. "Structural and Semantic Enrichment of Models for the Interactive Discovery of Clinical Processes." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82225-4_32.

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Abstract Process Mining (PM) is a relatively new field which provides techniques to analyze business processes in different areas. In the field of Medicine, PM seeks to infer clinical processes from the data routinely collected during healthcare activities. In most frameworks, workflows are used to represent the results obtained by PM techniques. A problem with these workflows is that their structure is complex and not always easy to understand and hence to exploit by the clinician. A different problem, related to Clinical Practice Guidelines (CPGs), is that their development is mostly manual.
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Nadkarni, Prakash M. "Representing Structured Clinical Data." In Metadata-driven Software Systems in Biomedicine. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-510-1_4.

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Ganney, Paul S. "Data Structures." In Introduction to Bioinformatics and Clinical Scientific Computing. CRC Press, 2022. http://dx.doi.org/10.1201/9781003316244-1.

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Sun, Wei, Shaoxiong Ji, Tuulia Denti, et al. "Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43427-3_27.

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AbstractOne of the central tasks of medical text analysis is to extract and structure meaningful information from plain-text clinical documents. Named Entity Recognition (NER) is a sub-task of information extraction that involves identifying predefined entities from unstructured free text. Notably, NER models require large amounts of human-labeled data to train, but human annotation is costly and laborious and often requires medical training. Here, we aim to overcome the shortage of manually annotated data by introducing a training scheme for NER models that uses an existing medical ontology t
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Zhou, Weichen, Jingyu Li, Xi Wang, Yuwan Wang, and Mengye Lyu. "Infant Hippocampal Segmentation in Ultra-Low-Field MRI Using External Datasets with Diverse Field Strengths." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83008-2_3.

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Abstract Ultra-low-field (uLF) MRI is a promising technology for expanding access to MRI in resource-limited settings, but it presents significant image analysis challenges, particularly in the segmentation of small brain structures. One such structure is the hippocampus, which is crucial for monitoring the neurodevelopment after birth. In this study, we developed a hippocampal segmentation method using the nnUNet framework, exploring various training strategies, including using additional labeled high-field (HF) and unlabeled low-field (LF) data. Our results show that integrating external dat
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Beaulieu-Jones, Brett. "Machine Learning for Structured Clinical Data." In Advances in Biomedical Informatics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67513-8_3.

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Mullin Robert L., Lippens Marc, Vertrees James, and Mitchell Keith C. "Computer Assisted Clinical Data Analysis." In Studies in Health Technology and Informatics. IOS Press, 1994. https://doi.org/10.3233/978-1-60750-858-8-135.

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The Diagnosis Related Groups patient classification scheme coupled with desk top PC technology permits sophisticated analysis of patient medical data. Individuals with no programming knowledge can produce sophisticated analysis. The functionality and structure of the 3M Analytical Workstation are described and example analysis reports are presented.
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Conference papers on the topic "Clinical data structure"

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Shi, Rui, Tsukasa Koike, Tetsuro Sekine, Akio Morita, and Tetsuya Sakai. "Reconstruction of 3D Brain Structures from Clinical 2D MRI Data." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013259000003905.

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Pangestu, Setyo Aryo, Tessy Badriyah, and Rosiyah Faradisa. "Building Early Warning Scores With Statistical-Based Structured Methods on Patient Clinical Data." In 2024 International Electronics Symposium (IES). IEEE, 2024. http://dx.doi.org/10.1109/ies63037.2024.10665845.

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Nisa Az Zahra, Putri Ayu, Tessy Badriyah, and Selvia Ferdiana Kusuma. "Developing Early Warning Score With Structured Methodology Using Decision Trees Based On Patients' Clinical Data." In 2024 International Electronics Symposium (IES). IEEE, 2024. http://dx.doi.org/10.1109/ies63037.2024.10665786.

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Nealon, Joshua, Wenny Rahayu, and Eric Pardede. "Improving Clinical Data Warehouse Performance via a Windowing Data Structure Architecture." In 2009 International Conference on Computational Science and Its Applications. IEEE, 2009. http://dx.doi.org/10.1109/iccsa.2009.23.

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Letyagin, Andrey Yu. "Big data and modeling in clinical diagnostics." In 2018 11th International Multiconference Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB). IEEE, 2018. http://dx.doi.org/10.1109/csgb.2018.8544783.

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Zhang, Ruxin, Xiaofei Song, Yuanlong Zhang, et al. "Universally Achieving Crisp Imaging in Phone Camera with Field-dependent Deconvolution in Raw Format." In Clinical and Translational Biophotonics. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/translational.2024.jd6a.10.

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We present Raw2raw, an innovative image reconstruction pipeline to mitigate blurriness caused by under-optimized smartphone systems. Our style effectively preserves data structure and underscores the potential of portable biomedical data capture and smart-phone camera applications.
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"BGRS/SB-2022 877 Big Data in creating a clinical decision support system." In Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB-2022) :. Institute of Cytology and Genetics, the Siberian Branch of the Russian Academy of Sciences, 2022. http://dx.doi.org/10.18699/sbb-2022-512.

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Chen, Dehua, Chuang Ma, and Yunying Wu. "Clinical Knowledge Graph Embeddings with Hierarchical Structure for Thyroid Treatment Recommendation." In 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE, 2019. http://dx.doi.org/10.1109/dasc/picom/cbdcom/cyberscitech.2019.00088.

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de Lusignan, Simon. "Improving data quality and clinical records: Lessons from the UK National Programme about structure, process and utility." In Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces (ITI). IEEE, 2009. http://dx.doi.org/10.1109/iti.2009.5196042.

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Paramonova, E., A. Kudinov, S. Mikheev, V. Tsvetkov, and I. Tsvetkov. "FRACTAL THERMODYNAMICS, BIG DATA AND ITS 3D VISUALIZATION." In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.82.15.001.

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The article proposes to use fractal thermodynamics to analyze big data with fractal structure. The need for big data analysis arises in many areas of science and technology when creating databases in economics, medicine, geophysics, astronomy, particle physics and many others. This task is greatly simplified if big data has structural patterns. In this talk, we considered the case when big data forming a set A with a high degree of accuracy are multifractals. The analysis of the fractal structure of the set A was carried out on the basis of the fractal thermodynamics model. Its main methods an
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Reports on the topic "Clinical data structure"

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Wang, Jiajie, Wei Huang, Yanji Zhang, Zhengrong Zhao, and Zhongyu Zhou. Acupuncture and related interventions for the treatment of obesity: protocol for a scoping review of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.3.0099.

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Review question / Objective: The purpose of this study is to summarize the characteristics of RCT in the treatment of obesity by acupuncture and other related intervention measures, so as to enhance evidence-based clinical practice about acupuncture for obesity. Condition being studied: Obesity is a chronic metabolic disease that is defined as a body's excessive accumulation or abnormal distribution of total or local fat content. Their complications such as Type II diabetes mellitus, hyperlipidemia, and cardiovascular diseases are strongly related to higher risks of mortality. In recent years,
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Shekelle, Paul G., Aneesa Motala, and Emily Lawson. Use of Structured Handoff Protocols for Intrahospital Within-Unit Transitions. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepc_mhs4handoff.

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Objectives. To review the evidence from the past 10 years on the effectiveness of structured protocols for the handoff between clinicians of responsibility for a patient’s care on clinical safety outcomes. Methods. We searched PubMed, EMBASE, PSNet, CINAHL, and a narrowly focused search for unpublished reports from January 2013 to June/July 2024 for systematic reviews and primary studies of structured protocols for handoffs within the same inpatient unit (i.e., not transferring to a different level of care or a different institution) that reported patient clinical outcomes, such as medical err
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Taksa, Lucy, Rob Paterson, and Wendy Paterson. Biomedical engineering a critical workforce in healthcare delivery. The Sax Institute, 2020. http://dx.doi.org/10.57022/nqvh2815.

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This Evidence Check aims to describe the current state of the biomedical engineering workforce in NSW and the challenges to maintaining this workforce. It draws on a scoping report prepared by the NSW Ministry of Health, a desktop review and interviews with key informants. The authors present key findings and recommendations for this small but critical workforce. These include addressing critical gaps in data on the workforce, clarifying and defining roles, issues around recruitment and retention, the impact of technological changes and issues around employment and deployment across diverse cl
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Leavy, Michelle B., Danielle Cooke, Sarah Hajjar, et al. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration. Agency for Healthcare Research and Quality (AHRQ), 2020. http://dx.doi.org/10.23970/ahrqepcregistryoutcome.

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Background: Major depressive disorder is a common mental disorder. Many pressing questions regarding depression treatment and outcomes exist, and new, efficient research approaches are necessary to address them. The primary objective of this project is to demonstrate the feasibility and value of capturing the harmonized depression outcome measures in the clinical workflow and submitting these data to different registries. Secondary objectives include demonstrating the feasibility of using these data for patient-centered outcomes research and developing a toolkit to support registries intereste
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Zhang, Yu, Chaoliang Sun, Hengxi Xu, et al. Connectivity-Based Subtyping of De Novo Parkinson Disease: Biomarkers, Medication Effects and Longitudinal Progression. Progress in Neurobiology, 2024. http://dx.doi.org/10.60124/j.pneuro.2024.10.04.

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Parkinson's disease (PD) is characterized by divergent clinical symptoms and prognosis, suggesting the presence of distinct subtypes. Identifying these subtypes is crucial for understanding the underlying pathophysiology, predicting disease progression, and developing personalized treatments. In this study, we propose a connectivity-based subtyping approach, which measures each patient's deviation from the reference structural covariance networks established in healthy controls. Using data from the Parkinson's Progression Markers Initiative, we identified two distinct subtypes of de novo PD pa
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Parsons, Helen M., Hamdi I. Abdi, Victoria A. Nelson, et al. Transitions of Care From Pediatric to Adult Services for Children With Special Healthcare Needs. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepccer255.

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Objective. To understand the evidence base for care interventions, implementation strategies, and between-provider communication tools among children with special healthcare needs (CSHCN) transitioning from pediatric to adult medical care services. Data sources. We searched Ovid MEDLINE, Ovid Embase, the Cochrane Central trials (CENTRAL) registry, and CINAHL to identify studies through September 10, 2021. We conducted grey literature searches to identify additional resources relevant to contextual questions. Review methods. Using a mixed-studies review approach, we searched for intervention
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Palmer, Guy, Varda Shkap, Wendy Brown, and Thea Molad. Control of bovine anaplasmosis: cytokine enhancement of vaccine efficacy. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7695879.bard.

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Anaplasmosis an arthropod-born disease of cattle caused by the rickettsia Anaplasma marginale and is an impediment to efficient production of healthy livestock in both Israel and the United States. Currently the only effective vaccines are derived from the blood of infected cattle. The risk of widespread transmission of both known and newly emergent pathogens has prevented licensure of live blood-based vaccines in the U.S. and is a major concern for their continued use in Israel. Consequently development of a safe, effective vaccine is a high priority. In this collaborative project we focused
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Tranchant, Jean-Pierre, Jessica Gordon, Jo Carpenter, et al. Bangladesh Initiative to Enhance Nutrition Security and Governance (BIeNGS) Final Evaluation Report. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ids.2024.036.

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The BIeNGS programme was ultimately designed to lead to improved nutrition status of children and mothers in the two Bangladeshi districts of Jamalpur and Sherpur. This report summarises the endline findings from the evaluation of the BIeNGS programme. This comprised of a mixed methods design combining quantitative surveys with project beneficiary households, Community Clinic and CNP staff together with a qualitative and process component to gather community and implementer perspectives and process monitoring data. Quantitative findings provide a ‘before-after’ comparison of project logframe i
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FEDOTKINA, S. A., O. V. MUZALEVA, and E. V. KHUGAEVA. RETROSPECTIVE ANALYSIS OF THE USE OF TELEMEDICINE TECHNOLOGIES FOR THE PREVENTION, DIAGNOSIS AND TREATMENT OF HYPERTENSION. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/978-0-615-67320-2-4-22.

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Introduction. The economic losses associated with disability due to diseases of the circulatory system, as well as the costs of providing medical care to patients suffering from heart and vascular diseases, are increasing annually. The state preventive measures currently being carried out are of a delayed nature. The results of the medical examination of the population of the Russian Federation in recent years (2015-2019) indicate that the incidence of cardiovascular diseases, including hypertension, is at a fairly high level. In the middle of the last century, the Concept of risk factors for
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WANG, MIN, Sheng Chen, Changqing Zhong, et al. Diagnosis using artificial intelligence based on the endocytoscopic observation of the gastrointestinal tumours: a systematic review and meta-analysis. InPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0096.

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Review question / Objective: With the development of endoscopic techniques, several diagnostic endoscopy methods are available for the diagnosis of malignant lesions, including magnified pigmented endoscopy and narrow band imaging (NBI).The main goal of endoscopy is to achieve the real-time diagnostic evaluation of the tissue, allowing an accurate assessment comparable to histopathological diagnosis based on structural and cellular heterogeneity to significantly improve the diagnostic rate for cancerous tissues. Endocytoscopy (ECS) is based on ultrahigh magnification endoscopy and has been app
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