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Fundamentals of Clinical Data Science / edited by Pieter Kubben, Michel Dumontier, Andre Dekker.

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Springer Nature - Springer Medicine eBooks 2019 English International Available online

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Format:
Book
Contributor:
Kubben, Pieter, editor.
Dumontier, Michel (Professor of data science), editor.
Dekker, Andre, 1956- editor.
SpringerLink (Online service)
Series:
Medicine (Springer-11650)
Language:
English
Subjects (All):
Medical informatics.
Bioinformatics.
Health Informatics.
Computational Biology/Bioinformatics.
Local Subjects:
Health Informatics.
Computational Biology/Bioinformatics.
Physical Description:
1 online resource (VIII, 219 pages) : 45 illustrations, 35 illustrations in color
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
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.
Contents:
Data sources
Data at scale
Standards in healthcare data
Using FAIR data / data stewardship
Privacy / deidentification
Preparing your data
Creating a predictive model
Diving deeper into models
Validation and Evaluation of reported models
Clinical decision support systems
Mobile app development
Operational excellence
Value Based Healthcare (Regulatory concerns).
Other Format:
Printed edition:
ISBN:
978-3-319-99713-1
9783319997131
Access Restriction:
Restricted for use by site license.

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