Fundamentals of Clinical Data Science

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Publisher : Springer
ISBN 13 : 3319997130
Total Pages : 219 pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Fundamentals of Clinical Data Science by : Pieter Kubben

Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben and published by Springer. This book was released on 2018-12-21 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamentals of Clinical Trials

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Publisher : Springer Science & Business Media
ISBN 13 : 9780387985862
Total Pages : 384 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Fundamentals of Clinical Trials by : Lawrence M. Friedman

Download or read book Fundamentals of Clinical Trials written by Lawrence M. Friedman and published by Springer Science & Business Media. This book was released on 1998 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Fundamentals of Clinical Data Management

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781516986576
Total Pages : 0 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis The Fundamentals of Clinical Data Management by : S. Fernandez

Download or read book The Fundamentals of Clinical Data Management written by S. Fernandez and published by Createspace Independent Publishing Platform. This book was released on 2015-08-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

R for Health Data Science

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Publisher : CRC Press
ISBN 13 : 1000226166
Total Pages : 354 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis R for Health Data Science by : Ewen Harrison

Download or read book R for Health Data Science written by Ewen Harrison and published by CRC Press. This book was released on 2020-12-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamentals of Clinical Data Science

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Author :
Publisher :
ISBN 13 : 9781013275906
Total Pages : 218 pages
Book Rating : 4.0X/5 ( download)

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Book Synopsis Fundamentals of Clinical Data Science by : Andre Dekker

Download or read book Fundamentals of Clinical Data Science written by Andre Dekker and published by . This book was released on 2020-10-09 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Foundations of Data Science

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Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Foundations of Data Science by : Avrim Blum

Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Foundations of Clinical Research

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Publisher :
ISBN 13 : 9780803646575
Total Pages : 0 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Foundations of Clinical Research by : Leslie Gross Portney

Download or read book Foundations of Clinical Research written by Leslie Gross Portney and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamentals of Clinical Data Science

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Author :
Publisher :
ISBN 13 : 9783319997148
Total Pages : 219 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Fundamentals of Clinical Data Science by :

Download or read book Fundamentals of Clinical Data Science written by and published by . This book was released on 2019 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Principles and Practice of Clinical Research

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Publisher : Elsevier
ISBN 13 : 9780080489568
Total Pages : 448 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Principles and Practice of Clinical Research by : John I. Gallin

Download or read book Principles and Practice of Clinical Research written by John I. Gallin and published by Elsevier. This book was released on 2011-04-28 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this innovative work again provides a unique perspective on the clinical discovery process by providing input from experts within the NIH on the principles and practice of clinical research. Molecular medicine, genomics, and proteomics have opened vast opportunities for translation of basic science observations to the bedside through clinical research. As an introductory reference it gives clinical investigators in all fields an awareness of the tools required to ensure research protocols are well designed and comply with the rigorous regulatory requirements necessary to maximize the safety of research subjects. Complete with sections on the history of clinical research and ethics, copious figures and charts, and sample documents it serves as an excellent companion text for any course on clinical research and as a must-have reference for seasoned researchers. *Incorporates new chapters on Managing Conflicts of Interest in Human Subjects Research, Clinical Research from the Patient's Perspective, The Clinical Researcher and the Media, Data Management in Clinical Research, Evaluation of a Protocol Budget, Clinical Research from the Industry Perspective, and Genetics in Clinical Research *Addresses the vast opportunities for translation of basic science observations to the bedside through clinical research *Delves into data management and addresses how to collect data and use it for discovery *Contains valuable, up-to-date information on how to obtain funding from the federal government

Designing Clinical Research

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Publisher : Lippincott Williams & Wilkins
ISBN 13 : 1451165854
Total Pages : 388 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Designing Clinical Research by : Stephen B. Hulley

Download or read book Designing Clinical Research written by Stephen B. Hulley and published by Lippincott Williams & Wilkins. This book was released on 2011-11-30 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Clinical Research sets the standard for providing a practical guide to planning, tabulating, formulating, and implementing clinical research, with an easy-to-read, uncomplicated presentation. This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop. Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.