Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science

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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 p...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kubben, Pieter (Editor), Dumontier, Michel (Editor), Dekker, Andre (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Medical informatics.
Bioinformatics.
Health Informatics.
Computational and Systems Biology.
Online Access:Link to Metadata
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Table of Contents:
  • Data sources
  • Data at scale
  • Standards in healthcare data
  • Using FAIR data / data stewardship
  • Privacy / deidentification
  • Preparing your data
  • Creating a predictive model
  • Diving deeper into models
  • Validation and Evaluation of reported models
  • Clinical decision support systems
  • Mobile app development
  • Operational excellence
  • Value Based Healthcare (Regulatory concerns).

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