Fundamentals of Clinical Data Science
by Pieter Kubben, Michel Dumontier, Andre Dekker
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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.
Book Description
This 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 open book is licensed under a Creative Commons License (CC BY). You can download Fundamentals of Clinical Data Science ebook for free in PDF format (7.5 MB).
Book Details
Title
Fundamentals of Clinical Data Science
Subject
Medical
Publisher
Springer
Published
2019
Pages
218
Edition
1
Language
English
ISBN13
9783319997124
ISBN10
3319997122
ISBN13 Digital
9783319997131
ISBN10 Digital
3319997130
PDF Size
7.5 MB
License
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