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Book
Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating
Author:
ISBN: 3030163989 3030163997 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies .


Periodical
Lifetime data analysis: an international journal devoted to statistical methods and applications for time-to-event data
ISSN: 13807870 15729249 Publisher: Boston, Mass.

Statistical parametric mapping : the analysis of functional brain images
Author:
ISBN: 9780123725608 0123725607 1493300954 9786610728992 128072899X 0080466508 9780080466507 6610728992 Year: 2007 Publisher: London : Academic,

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In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to m


Book
Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
Authors: --- ---
Year: 2022 Publisher: Basel MDPI Books

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The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry and remote sensing. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources for photogrammetric 3D mapping. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. It is really worthy to collecting the cutting-edge techniques and reporting their promising applications.

Keywords

compound building reconstruction --- LiDAR --- point clouds --- semantic decomposition --- structure from motion --- match pair --- cycle consistency inference --- repetitive structure --- very short baseline --- high-resolution remote sensing images --- building extraction --- multiscale features --- aggregate semantic information --- feature pyramid --- spatial eight-quadrant kernel convolution --- 3D point cloud --- semantic segmentation --- indoor scene --- wide-baseline stereo image --- deep learning --- convolutional neural network --- affine invariant feature --- image matching --- photogrammetric mesh model --- building façade --- 3D reconstruction --- least square fitting --- single image super-resolution --- lightweight image super-resolution --- U-shaped residual network --- dense shortcut --- effective feature distillation --- high-frequency loss --- power lines --- UAV inspection --- red-black propagation --- depth map fusion --- PatchMatch --- digital photogrammetry --- camera self-calibration --- Brown model --- polynomial model --- aerial triangulation --- GF-7 image --- building footprint --- building height --- multi-view --- point cloud --- multi-view reconstruction --- detail preserving --- depth estimation --- surface meshing --- texture mapping --- coplanar extraction --- deep convolutional neural network --- geometric topology --- homography matrix --- airborne LiDAR --- coal mine --- surface subsidence --- deformation detection --- digital subsidence model --- n/a --- building façade

Group-based modeling of development
Author:
ISBN: 0674016866 0674041313 9780674016866 9780674041318 Year: 2005 Publisher: Cambridge, Mass. : Harvard University Press,

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This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality over the life course, changes in income over time, the course of a disease or physiological condition, or the evolution of the socioeconomic status of communities.

Keywords

Longitudinal method. --- Longitudinal research --- Longitudinal studies --- Methodology --- Research --- Social sciences --- Longitudinal method --- Longitudinal Studies --- Psychology --- Models, Psychological --- Models, Statistical --- Age Factors --- Age Reporting --- Age Factor --- Factor, Age --- Factors, Age --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Model, Mental --- Model, Psychological --- Models, Mental --- Models, Psychologic --- Psychological Models --- Mental Model --- Mental Models --- Model, Psychologic --- Psychologic Model --- Psychologic Models --- Psychological Model --- Bogalusa Heart Study --- California Teachers Study --- Framingham Heart Study --- Jackson Heart Study --- Longitudinal Survey --- Tuskegee Syphilis Study --- Bogalusa Heart Studies --- California Teachers Studies --- Framingham Heart Studies --- Heart Studies, Bogalusa --- Heart Studies, Framingham --- Heart Studies, Jackson --- Heart Study, Bogalusa --- Heart Study, Framingham --- Heart Study, Jackson --- Jackson Heart Studies --- Longitudinal Study --- Longitudinal Surveys --- Studies, Bogalusa Heart --- Studies, California Teachers --- Studies, Jackson Heart --- Studies, Longitudinal --- Study, Bogalusa Heart --- Study, California Teachers --- Study, Longitudinal --- Survey, Longitudinal --- Surveys, Longitudinal --- Syphilis Studies, Tuskegee --- Syphilis Study, Tuskegee --- Teachers Studies, California --- Teachers Study, California --- Tuskegee Syphilis Studies --- methods --- #SBIB:303H522 --- Methoden sociale wetenschappen: handboeken statistische analyse

Applied longitudinal data analysis for epidemiology : a practical guide
Author:
ISBN: 0521525802 9780521819763 9780521525800 0521819768 0511070063 9780511070068 0511061609 9780511061608 0511055277 9780511055270 0511121105 9780511121104 1280162503 9781280162503 1107135907 9786610162505 113914880X 0511306393 Year: 2003 Publisher: Cambridge, UK ; New York : Cambridge University Press,

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In this book the most important techniques available for longitudinal data analysis are discussed, including simple techniques such as the paired t-test and summary statistics, and more sophisticated techniques such as generalised estimating equations and random coefficient analysis. This practical guide is suitable for non-statisticians involved in medical research and epidemiology.

Keywords

Epidemiology --- Diseases --- Public health --- Research --- Statistical methods. --- Epidemiologic Studies --- Longitudinal Studies --- Epidemiologic Studies. --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- Epidemiological Studies --- Studies, Epidemiologic --- Epidemiologic Study --- Epidemiological Study --- Studies, Epidemiological --- Study, Epidemiologic --- Study, Epidemiological --- Data Interpretation, Statistical --- Models, Statistical --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Longitudinal Survey --- Longitudinal Study --- Longitudinal Surveys --- Studies, Longitudinal --- Study, Longitudinal --- Survey, Longitudinal --- Surveys, Longitudinal --- Research&delete& --- Statistical methods --- Mathematical statistics --- Data Interpretation, Statistical. --- Models, Statistical. --- Bogalusa Heart Study --- California Teachers Study --- Framingham Heart Study --- Jackson Heart Study --- Tuskegee Syphilis Study --- Bogalusa Heart Studies --- California Teachers Studies --- Framingham Heart Studies --- Heart Studies, Bogalusa --- Heart Studies, Framingham --- Heart Studies, Jackson --- Heart Study, Bogalusa --- Heart Study, Framingham --- Heart Study, Jackson --- Jackson Heart Studies --- Studies, Bogalusa Heart --- Studies, California Teachers --- Studies, Jackson Heart --- Study, Bogalusa Heart --- Study, California Teachers --- Syphilis Studies, Tuskegee --- Syphilis Study, Tuskegee --- Teachers Studies, California --- Teachers Study, California --- Tuskegee Syphilis Studies --- Data Collection --- Epidemiologic Methods --- methods --- WA 105 Epidemiology --- Data Collection - methods --- Epidemiology - Research - Statistical methods --- Epidemiology - Longitudinal studies --- Epidemiology - Statistical methods


Book
Risk adjustment for measuring health care outcomes
Author:
ISBN: 1567937454 1567936067 9781567936063 9781567934373 1567934374 Year: 2013 Publisher: Chicago, Ill. Health Administration Press

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The fourth edition of Risk Adjustment for Measuring Health Care Outcomes presents the fundamental principles and concepts of risk adjustment for comparing outcomes of care and explains why risk adjustment is a critical tool for measuring quality and setting reimbursement rates. This book is a comprehensive guide to the issues raised by risk adjustment, including the pros and cons of different data sources, the validity and reliability of risk adjustment methods, the effects of various statistical modeling approaches, and concerns relating to special populations.The fourth edition features:A new chapter on the role of risk adjustment in managing healthcare organizations New information on risk factors, including genetics and social and environmental determinants of health Perspectives on electronic health records and new health information technologies Explanations of new statistical methods for comparing provider outcomes and their implications for risk adjustmentInstructor Resources: Discussion questions and PowerPoint slides of the book exhibits. To see a sample, click on the Instructor Resource sample tab above.

Keywords

Outcome Assessment, Health Care --- Risk Adjustment --- Decision Support Techniques. --- Delivery of Health Care --- Models, Statistical. --- Risk Factors. --- Population at Risk --- Populations at Risk --- Health Correlates --- Risk Factor Scores --- Risk Scores --- Correlates, Health --- Factor, Risk --- Risk Factor --- Risk Factor Score --- Risk Score --- Score, Risk --- Score, Risk Factor --- Organs at Risk --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Analysis, Decision --- Decision Aids --- Decision Support Technics --- Decision Analysis --- Decision Modeling --- Models, Decision Support --- Aid, Decision --- Aids, Decision --- Analyses, Decision --- Decision Aid --- Decision Analyses --- Decision Support Model --- Decision Support Models --- Decision Support Technic --- Decision Support Technique --- Model, Decision Support --- Modeling, Decision --- Technic, Decision Support --- Technics, Decision Support --- Technique, Decision Support --- Techniques, Decision Support --- Clinical Decision-Making --- Decision Making --- Decision Making, Organizational --- methods. --- organization & administration. --- United States. --- Social Risk Factors --- Factor, Social Risk --- Factors, Social Risk --- Risk Factor, Social --- Risk Factors, Social --- Social Risk Factor --- Decision Support Techniques --- Models, Statistical --- Outcome Assessment (Health Care) --- Risk Factors --- W 84 Health services. Quality of health care (General)

Risk adjustment for measuring health care outcomes
Author:
ISBN: 0585476853 9780585476858 156793207X Year: 2003 Publisher: Chicago, Ill. Health Administration Press

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Keywords

Health risk assessment. --- Outcome assessment (Medical care) --- Outcome Assessment, Health Care --- Risk Adjustment --- Decision Support Techniques. --- Delivery of Health Care --- Models, Statistical. --- Risk Factors. --- Population at Risk --- Populations at Risk --- Health Correlates --- Risk Factor Scores --- Risk Scores --- Correlates, Health --- Factor, Risk --- Risk Factor --- Risk Factor Score --- Risk Score --- Score, Risk --- Score, Risk Factor --- Organs at Risk --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Analysis, Decision --- Decision Aids --- Decision Support Technics --- Decision Analysis --- Decision Modeling --- Models, Decision Support --- Aid, Decision --- Aids, Decision --- Analyses, Decision --- Decision Aid --- Decision Analyses --- Decision Support Model --- Decision Support Models --- Decision Support Technic --- Decision Support Technique --- Model, Decision Support --- Modeling, Decision --- Technic, Decision Support --- Technics, Decision Support --- Technique, Decision Support --- Techniques, Decision Support --- Clinical Decision-Making --- Decision Making --- Decision Making, Organizational --- Assessment of outcome (Medical care) --- Outcome evaluation (Medical care) --- Outcome measures (Medical care) --- Outcomes assessment (Medical care) --- Outcomes measurement (Medical care) --- Outcomes research (Medical care) --- Patient outcome assessment --- Medical care --- Assessment, Health risk --- Health hazard appraisal --- Health hazard assessment --- Health risk appraisal --- HRA (Public health) --- Human risk assessment --- Medicine, Preventive --- Public health --- Risk assessment --- Environmental health --- methods. --- organization & administration. --- Evaluation --- Social Risk Factors --- Factor, Social Risk --- Factors, Social Risk --- Risk Factor, Social --- Risk Factors, Social --- Social Risk Factor


Book
Advanced Decision Making Methods Applied to Health Care
Authors: ---
ISBN: 1280995203 9786613766816 8847023211 Year: 2012 Volume: 173 Publisher: Milano : Springer Milan : Imprint: Springer,

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Abstract

The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness.

Keywords

Health services administration. --- Medical care. --- Delivery of health care --- Delivery of medical care --- Health care --- Health care delivery --- Health services --- Healthcare --- Medical and health care industry --- Medical services --- Personal health services --- Public health --- Health administration --- Health care administration --- Health care management --- Health sciences administration --- Health services management --- Medical care --- Health planning --- Public health administration --- Administration --- Management --- Economic policy. --- Medicine. --- Statistics. --- Economic Policy. --- Operations Research, Management Science. --- Medicine/Public Health, general. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Economic nationalism --- Economic planning --- National planning --- State planning --- Economics --- Planning --- National security --- Social policy --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Health Workforce --- Decision Support Techniques. --- Delivery of Health Care --- Models, Statistical. --- statistics & numerical data. --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Analysis, Decision --- Decision Aids --- Decision Support Technics --- Decision Analysis --- Decision Modeling --- Models, Decision Support --- Aid, Decision --- Aids, Decision --- Analyses, Decision --- Decision Aid --- Decision Analyses --- Decision Support Model --- Decision Support Models --- Decision Support Technic --- Decision Support Technique --- Model, Decision Support --- Modeling, Decision --- Technic, Decision Support --- Technics, Decision Support --- Technique, Decision Support --- Techniques, Decision Support --- Clinical Decision-Making --- Decision Making --- Decision Making, Organizational --- Operations research. --- Management science. --- Statistics . --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory


Book
Intelligent patient management
Authors: ---
ISBN: 3642001785 3642001793 Year: 2009 Publisher: Berlin, Germany : Springer,

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Abstract

Arguably medicine is either an arts-based science or a science-based art. In medieval times, clinical decisions were based on simple measures, such as the temperature of the body, the rhythm of the pulse, the consistency of the stool and the colour of the urine. Nowadays, thanks partly to modern technology, medical science has improved in many ways, as has healthcare. In particular, approaches which have their origins in Artificial Intelligence and Operational Research have a significant contribution to make in terms of improving not only diagnosis and treatment of patients, but also providing ways of managing patients in a more effective, more efficient, and more patient-friendly manner. This book focuses on the use of such Intelligent Patient Management to the benefit of clinicians, other healthcare and community practitioners and managers, patients and carers.

Keywords

Medical informatics --- Models, Statistical --- Decision Support Techniques --- Delivery of Health Care --- Congresses --- Artificial Intelligence --- Patient Care Management --- Statistics as Topic --- Computing Methodologies --- Health Care Quality, Access, and Evaluation --- Models, Theoretical --- Investigative Techniques --- Publication Formats --- Medical Informatics Applications --- Publication Characteristics --- Health Services Administration --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Medical Informatics --- Information Science --- Epidemiologic Methods --- Health Care --- Health Care Evaluation Mechanisms --- Public Health --- Quality of Health Care --- Environment and Public Health --- Civil Engineering --- Medical & Biomedical Informatics --- Applied Mathematics --- Medicine --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Health & Biological Sciences --- Quality of Care --- Quality of Healthcare --- Care Qualities --- Care Quality --- Health Care Quality --- Healthcare Quality --- Environment, Preventive Medicine & Public Health --- Environment, Preventive Medicine and Public Health --- Health, Public --- Healthcare Evaluation Mechanisms --- Evaluation Mechanism, Healthcare --- Evaluation Mechanisms, Healthcare --- Healthcare Evaluation Mechanism --- Mechanism, Healthcare Evaluation --- Mechanisms, Healthcare Evaluation --- Community-Based Distribution --- Contraceptive Distribution --- Delivery of Healthcare --- Dental Care Delivery --- Distribution, Non-Clinical --- Distribution, Nonclinical --- Distributional Activities --- Healthcare --- Healthcare Delivery --- Healthcare Systems --- Non-Clinical Distribution --- Nonclinical Distribution --- Delivery of Dental Care --- Health Care Delivery --- Health Care Systems --- Activities, Distributional --- Activity, Distributional --- Care, Health --- Community Based Distribution --- Community-Based Distributions --- Contraceptive Distributions --- Deliveries, Healthcare --- Delivery, Dental Care --- Delivery, Health Care --- Delivery, Healthcare --- Distribution, Community-Based --- Distribution, Contraceptive --- Distribution, Non Clinical --- Distributional Activity --- Distributions, Community-Based --- Distributions, Contraceptive --- Distributions, Non-Clinical --- Distributions, Nonclinical --- Health Care System --- Healthcare Deliveries --- Healthcare System --- Non Clinical Distribution --- Non-Clinical Distributions --- Nonclinical Distributions --- System, Health Care --- System, Healthcare --- Systems, Health Care --- Systems, Healthcare --- Epidemiologic Method --- Epidemiological Methods --- Methods, Epidemiologic --- Epidemiological Method --- Method, Epidemiologic --- Method, Epidemiological --- Methods, Epidemiological --- Epidemiology --- Information Sciences --- Science, Information --- Sciences, Information --- Computer Science, Medical --- Health Information Technology --- Informatics, Clinical --- Informatics, Medical --- Information Science, Medical --- Clinical Informatics --- Medical Computer Science --- Medical Information Science --- Health Information Technologies --- Information Technologies, Health --- Information Technology, Health --- Medical Computer Sciences --- Medical Information Sciences --- Science, Medical Computer --- Technologies, Health Information --- Technology, Health Information --- Administration, Health Services --- Health Services --- Application, Medical Informatics --- Applications, Medical Informatics --- Informatics Applications, Medical --- Informatics Application, Medical --- Medical Informatics Application --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Healthcare Quality, Access, and Evaluation --- High Performance Computing --- Methodologies, Computing --- Computing Methodology --- Computing, High Performance --- Methodology, Computing --- Performance Computing, High --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Care Management, Patient --- Management, Patient Care --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Analysis, Decision --- Clinical Prediction Rule --- Decision Aids --- Decision Support Technics --- Decision Analysis --- Decision Modeling --- Models, Decision Support --- Aid, Decision --- Aids, Decision --- Analyses, Decision --- Clinical Prediction Rules --- Decision Aid --- Decision Analyses --- Decision Support Model --- Decision Support Models --- Decision Support Technic --- Decision Support Technique --- Model, Decision Support --- Modeling, Decision --- Prediction Rule, Clinical --- Prediction Rules, Clinical --- Rule, Clinical Prediction --- Rules, Clinical Prediction --- Technic, Decision Support --- Technics, Decision Support --- Technique, Decision Support --- Techniques, Decision Support --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- methods --- organization & administration --- Engineering. --- Health informatics. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Biomedical engineering. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Health Informatics. --- Biomedical Engineering. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Construction --- Industrial arts --- Technology --- Mathematics --- Data processing --- Medical records --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- Biomedical Engineering and Bioengineering. --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care

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