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Fundamentals of Clinical Data Science

Pieter Kubben
Barcode 9783319997124
Hardback

Original price £50.09 - Original price £50.09
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£50.09
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Release Date: 07/01/2019

Edition: 1st ed. 2019
Genre: Science Nature & Math
Sub-Genre: Medicine
Label: Springer International Publishing AG
Contributors: Pieter Kubben (Edited by), Michel Dumontier (Edited by), Andre Dekker (Edited by)
Language: English
Publisher: Springer International Publishing AG

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.


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.