Fundamentals of Clinical Data Science
  • Author : Pieter Kubben
  • Release Date : 21 December 2018
  • Publisher : Springer
  • Genre : Medical
  • Pages : 219
  • ISBN 13 : 9783319997131

Fundamentals of Clinical Data Science Book Summary

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
Publisher : Springer
Genre : Medical
Total View : 403 Views
File Size : 46,6 Mb
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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 privacy concerns. Aspects of predictive modelling using ...

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Genre : Computers
Total View : 9242 Views
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Total View : 632 Views
File Size : 49,9 Mb
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Genre : Medical
Total View : 1059 Views
File Size : 43,7 Mb
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