Image of Fundamentals of clinical data science

Text

Fundamentals of clinical data science

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.

Availability

No copy data

Detail Information
Series Title
-
Call Number
610.285 FUN f
Publisher
Cham, Switzerland : Springer Open.,
Collation
viii, 219p. : ill.
Language
English
ISBN/ISSN
9783319997131
Classification
610.285
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Medical informatics
Medical care--Data processing
Medical records--Management
Medicine--Information technology
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

File Attachment
Comments
You must be logged in to post a comment