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Author: Pieter Kubben
Publisher: Springer
ISBN: 3319997130
Category : Medical
Languages : en
Pages : 219
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Book Description
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author: Pieter Kubben
Publisher: Springer
ISBN: 3319997130
Category : Medical
Languages : en
Pages : 219
Get Book Here
Book Description
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author: Lawrence M. Friedman
Publisher: Springer Science & Business Media
ISBN: 9780387985862
Category : Medical
Languages : en
Pages : 384
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Book Description
This classic reference, now updated with the newest applications and results, addresses the fundamentals of such trials based on sound scientific methodology, statistical principles, and years of accumulated experience by the three authors.
Author: S. Fernandez
Publisher: Createspace Independent Publishing Platform
ISBN: 9781516986576
Category : Clinical trials
Languages : en
Pages : 0
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Book Description
"The Fundamentals of Clinical Data Management" is a manual for Sponsors, CROs, Investigators, Clinical Trial Monitors and Managers and Clinical Research Professionals to learn the basic concepts of Clinical Data Management. This book will focus on the topic which includes: Clinical Information Flow, Roles and Responsibilities of CDM Personnel, Guidelines Associated with CDM, Data Management Plan, CRF Designing, Data Collection, Cleaning and Data Validation, Study setup and Database Designing, Laboratory Data and Adverse Event Data Management, Report Creation and Data Closure, Data Archiving, Privacy and Security etc.
Author: Ewen Harrison
Publisher: CRC Press
ISBN: 1000226166
Category : Medical
Languages : en
Pages : 354
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Book Description
In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands – Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years’ combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.
Author: Leslie Gross Portney
Publisher:
ISBN: 9780803646575
Category : Biomedical Research
Languages : en
Pages : 0
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Book Description
Draw upon the foundations necessary for finding and interpreting research evidence across all healthcare professions. Revised to reflect the most current changes in the field of clinical research in rehabilitation and medicine, you'll find a growing emphasis on evidence-based practice (EBP) as well as new vocabulary that is being integrated into research and practice across disciplines.
Author: Robert Hoyt
Publisher: Lulu.com
ISBN: 179476173X
Category : Science
Languages : en
Pages : 260
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Book Description
Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises.
Author: Paul Suetens
Publisher: Cambridge University Press
ISBN: 1139479881
Category : Medical
Languages : en
Pages : 265
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Book Description
Fundamentals of Medical Imaging, second edition, is an invaluable technical introduction to each imaging modality, explaining the mathematical and physical principles and giving a clear understanding of how images are obtained and interpreted. Individual chapters cover each imaging modality – radiography, CT, MRI, nuclear medicine and ultrasound – reviewing the physics of the signal and its interaction with tissue, the image formation or reconstruction process, a discussion of image quality and equipment, clinical applications and biological effects and safety issues. Subsequent chapters review image analysis and visualization for diagnosis, treatment and surgery. New to this edition: • Appendix of questions and answers • New chapter on 3D image visualization • Advanced mathematical formulae in separate text boxes • Ancillary website containing 3D animations: www.cambridge.org/suetens • Full colour illustrations throughout Engineers, clinicians, mathematicians and physicists will find this an invaluable aid in understanding the physical principles of imaging and their clinical applications.
Author: Marcella Liffick Stevens
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 424
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Book Description
This reference presents the fundamentals of hematology, including erythrocytes, leukocytes, thrombocytes and coagulation, and briefly discusses disease states in a concise, yet comprehensive manner! This reader-friendly text features outlines, objectives, study questions, bibliographies, "Do It Now" application exercises, "special emphasis" statements, and "Fast Facts" summaries. Demonstrates the integration, collaboration, balance, and wholeness of quality clinical laboratory practices by introducing related areas and their procedures.
Author: Catherine DeAngelis
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 200
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Book Description
Here is an ideal introduction to research methods for clinicians, fellows, residents, and medical students. Written in a clear, easy-to-understand style, it outlines the steps that should be followed in order to organize and implement a typical investigation. Emphasizing the anticipation of future difficulties and the benefits of early planning, the authors discuss the types of questions that should be asked, how to design a study, and methods of data acquisition and analysis. Many examples are presented to illustrate the textual material, and extensive bibliography sections at the end of each chapter direct readers to published articles and texts that will provide further information.
Author: R. Röhrig
Publisher: IOS Press
ISBN: 1643683039
Category : Medical
Languages : en
Pages : 128
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Book Description
The aim of medical research has always been to gain scientific knowledge which will serve to improve the diagnosis, therapy and prevention of diseases. It is also becoming increasingly important to take account of the changing circumstances of medical care. Factors such as the ageing of society and the recent pandemic have not only led to greater use of medical care, but have also put the human resources and infrastructural basis of the health system under great pressure. Such developments call for science-based solutions which can better adapt medical action to the needs of patients to ensure that medicine remains affordable and accessible for all. This book is the 6th volume of the German Medical Data Science series in Studies in Health Technology and Informatics and presents the proceedings of the joint conference of the 67th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology (GMDS) and the 14th Annual Meeting of the Technology and Methods Platform for Networked Medical Research (TMF). The conference was entitled Medicine in Transition - More Precise, More Integrative, More Sustainable. It was due to be held from 21-25 August 2022 in Kiel, Germany, but was changed to an online event on the same dates due to an increasing surge in cases of coronavirus. The pandemic has not only disrupted the planning of many events, it has also impressively demonstrated the importance of technical and methodological aspects of digitization. The 13 papers included here address the challenges of and opportunities for the digitization so vital for the functionality of the modern healthcare system, and the book will be of interest to all those involved in the planning and delivery of healthcare.
