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Author: Chen Liu
Publisher: Frontiers Media SA
ISBN: 2889765121
Category : Medical
Languages : en
Pages : 150
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Book Description
Author: Chen Liu
Publisher: Frontiers Media SA
ISBN: 2889765121
Category : Medical
Languages : en
Pages : 150
Get Book Here
Book Description
Author: Bertram Pitt
Publisher: Bailliere Tindall Limited
ISBN:
Category : Medical
Languages : en
Pages : 408
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Book Description
This text, aimed at the clinical cardiologist, covers the planning of and partcipation in a clinical trial. It interprets the importance of past clinical trials in current clinical practice.
Author: Ewout W. Steyerberg
Publisher: Springer
ISBN: 3030163997
Category : Medical
Languages : en
Pages : 574
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Book Description
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
Author: John E. Wennberg
Publisher: Oxford University Press
ISBN: 0199830851
Category : Medical
Languages : en
Pages : 341
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Book Description
Written by a groundbreaking figure of modern medical study, Tracking Medicine is an eye-opening introduction to the science of health care delivery, as well as a powerful argument for its relevance in shaping the future of our country. An indispensable resource for those involved in public health and health policy, this book uses Dr. Wennberg's pioneering research to provide a framework for understanding the health care crisis; and outlines a roadmap for real change in the future. It is also a useful tool for anyone interested in understanding and forming their own opinion on the current debate.
Author: Harald Drück
Publisher: Springer Nature
ISBN: 9811510636
Category : Architecture
Languages : en
Pages : 514
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Book Description
This book comprises the proceedings of the International Conference on Green Buildings and Sustainable Engineering (GBSE 2019), which focused on the theme “Ecotechnological and Digital Solutions for Smart Cities”. The papers included address all aspects of green buildings and sustainability practices in civil engineering, and focus on ways and means of reducing pollution and degradation of the environment through efficient usage of energy and water. The book will prove a valuable reference resource for researchers, practitioners, and policy makers.
Author: Alexandre Mebazaa
Publisher: Springer Science & Business Media
ISBN: 1846287820
Category : Medical
Languages : en
Pages : 922
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Book Description
For many years, there has been a great deal of work done on chronic congestive heart failure while acute heart failure has been considered a difficult to handle and hopeless syndrome. However, in recent years acute heart failure has become a growing area of study and this is the first book to cover extensively the diagnosis and management of this complex condition. The book reflects the considerable amounts of new data reported and many new concepts which have been proposed in the last 3-4 years looking at the epidemiology, diagnostic and treatment of acute heart failure.
Author: Rani, Geeta
Publisher: IGI Global
ISBN: 1799827437
Category : Medical
Languages : en
Pages : 586
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Book Description
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
Author: E. Molinari
Publisher: Springer Science & Business Media
ISBN: 9788847003774
Category : Education
Languages : en
Pages : 544
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Book Description
Provides a comprehensive overview of epidemiologic, experimental, and clinical data evidencing the emergence of cardiac psychology as a specialty. It offers a thorough and up-to-date review of the scientific research supporting the relationship between cardiac disease and psychological condition, practical suggestions for developing a clinical practice and directions for future research in this new field of "cardiac psychology". The first part provides an overview of the psychological risk factors for cardiac disease. Emphasis is placed on physiological basis of mind-heart link, depression and anxiety, personality and relational aspects, and on advanced statistical tools for the study of personalities at risk. The second part offers a systematic overview of literature on psychological treatments in cardiac rehabilitation.
Author: M. Malik
Publisher: Springer Science & Business Media
ISBN: 9780792351788
Category : Medical
Languages : en
Pages : 450
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Book Description
A practical guide for researchers and physicians interested in autonomic investigations of the heart. Part I deals with the physiology of the cardiac autonomic system that creates the background of particular tests, and explains pathophysiology of cardiac autonomic disorders. Part II describes specific autonomic tests and investigations. Part III summarizes the value of autonomic testing in clinical practice and describes conditions which might alter the results of autonomic investigations, such as ageing, concomitant therapy, and recreational drugs. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Thomas A. Gerds
Publisher: CRC Press
ISBN: 0429764235
Category : Mathematics
Languages : en
Pages : 249
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Book Description
Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient’s individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest. Features: All you need to know to correctly make an online risk calculator from scratch Discrimination, calibration, and predictive performance with censored data and competing risks R-code and illustrative examples Interpretation of prediction performance via benchmarks Comparison and combination of rival modeling strategies via cross-validation Thomas A. Gerds is a professor at the Biostatistics Unit at the University of Copenhagen and is affiliated with the Danish Heart Foundation. He is the author of several R-packages on CRAN and has taught statistics courses to non-statisticians for many years. Michael W. Kattan is a highly cited author and Chair of the Department of Quantitative Health Sciences at Cleveland Clinic. He is a Fellow of the American Statistical Association and has received two awards from the Society for Medical Decision Making: the Eugene L. Saenger Award for Distinguished Service, and the John M. Eisenberg Award for Practical Application of Medical Decision-Making Research.
