Book Details


Fundamentals of Clinical Data Science

Publication year: 2019

ISBN: 978-3-319-99713-1

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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.

Subject: Medicine, eHealth, mHealth, Predictive analytics, Machine learning, Personalized medicine, Personalized medicine, Big data, Clinical Decision Support Systems, Health Informatics, Computational Biology, Bioinformatics