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(s): Pieter Kubben,Michel Dumontier, Andre Dekker
Edition: First Edition
Publisher: Springer Nature
Year: 2019
Language: English
Pages: 0
Front Matter ....Pages i-viii
Front Matter ....Pages 1-1
Data Sources (Pieter Kubben)....Pages 3-9
Data at Scale (Alberto Traverso, Frank J. W. M. Dankers, Leonard Wee, Sander M. J. van Kuijk)....Pages 11-17
Standards in Healthcare Data (Stefan Schulz, Robert Stegwee, Catherine Chronaki)....Pages 19-36
Research Data Stewardship for Healthcare Professionals (Paula Jansen, Linda van den Berg, Petra van Overveld, Jan-Willem Boiten)....Pages 37-53
The EU’s General Data Protection Regulation (GDPR) in a Research Context (Christopher F. Mondschein, Cosimo Monda)....Pages 55-71
Front Matter ....Pages 73-73
Preparing Data for Predictive Modelling (Sander M. J. van Kuijk, Frank J. W. M. Dankers, Alberto Traverso, Leonard Wee)....Pages 75-84
Extracting Features from Time Series (Christian Herff, Dean J. Krusienski)....Pages 85-100
Prediction Modeling Methodology (Frank J. W. M. Dankers, Alberto Traverso, Leonard Wee, Sander M. J. van Kuijk)....Pages 101-120
Diving Deeper into Models (Alberto Traverso, Frank J. W. M. Dankers, Biche Osong, Leonard Wee, Sander M. J. van Kuijk)....Pages 121-133
Reporting Standards and Critical Appraisal of Prediction Models (Leonard Wee, Sander M. J. van Kuijk, Frank J. W. M. Dankers, Alberto Traverso, Mattea Welch, Andre Dekker)....Pages 135-150
Front Matter ....Pages 151-151
Clinical Decision Support Systems (A. T. M. Wasylewicz, A. M. J. W. Scheepers-Hoeks)....Pages 153-169
Mobile Apps (Pieter Kubben)....Pages 171-179
Optimizing Care Processes with Operational Excellence & Process Mining (Henri J. Boersma, Tiffany I. Leung, Rob Vanwersch, Elske Heeren, G. G. van Merode)....Pages 181-192
Value-Based Health Care Supported by Data Science (Tiffany I. Leung, G. G. van Merode)....Pages 193-212
Back Matter ....Pages 213-219
