Fundamentals of Clinical Data Science

5.00$
 Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science

5.00$

1st ed. 2019 edition

by Pieter Kubben (Editor), Michel Dumontier (Editor), Andre Dekker (Editor)

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.

Year:
2019
Pages:
437
Language:
English
Format:
PDF
Size:
7.5 MB
Publisher:
Springer
ISBN-10:
3319997122
ISBN-13:
978-3319997124
ASIN:
B07FNGDHRR