Fundamentals of Clinical Data Science

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 p...

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Bibliographic Details
Other Authors: Kubben, Pieter (Editor), Kubben, Pieter. editor (editor), Dumontier, Michel. editor, Dekker, Andre. editor
Format: eBook
Language:Inglés
Published: Cham Springer Nature 2019
Cham : 2019.
Edition:1st ed. 2019.
Subjects:
Health informatics.
Bioinformatics.
Data Science.
Medical Informatics.
Precision Medicine > methods.
Medicine
Health informatics
Bioinformatics
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009430462606719
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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