Fundamentals of Clinical Data Science

  • Publisher : Springer
  • File Size : 49,6 Mb
  • Release : 21 December 2018
  • ISBN : 9783319997131
  • Page : 219 pages

Summary: Fundamentals of Clinical Data Science PDF is a Fantastic Medical book by Pieter Kubben. It was published by Springer on 21 December 2018. This Book has 219 pages and Available to download in PDF, EPUB and Kindle Format. Read detail book and summary below and click download button to get book file and read directly from your devices.

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.

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
Author: Pieter Kubben,Michel Dumontier,Andre Dekker
File Size : 43,7 Mb
Category: Medical

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:

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