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Introduction to Machine Learning in Digital Healthcare Epidemiology.
Journal article

Introduction to Machine Learning in Digital Healthcare Epidemiology.

  • Roth JA 1Division of Infectious Diseases and Hospital Epidemiology,University Hospital Basel,Basel,Switzerland.
  • Battegay M 1Division of Infectious Diseases and Hospital Epidemiology,University Hospital Basel,Basel,Switzerland.
  • Juchler F 1Division of Infectious Diseases and Hospital Epidemiology,University Hospital Basel,Basel,Switzerland.
  • Vogt JE 3Adaptive Systems and Medical Data Science,Department of Mathematics and Computer Science,University of Basel,Basel,Switzerland.
  • Widmer AF 1Division of Infectious Diseases and Hospital Epidemiology,University Hospital Basel,Basel,Switzerland.
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  • 2018-11-06
Published in:
  • Infection control and hospital epidemiology. - 2018
Big Data
Biomedical Research
Electronic Health Records
Epidemiologic Studies
Humans
Machine Learning
English To exploit the full potential of big routine data in healthcare and to efficiently communicate and collaborate with information technology specialists and data analysts, healthcare epidemiologists should have some knowledge of large-scale analysis techniques, particularly about machine learning. This review focuses on the broad area of machine learning and its first applications in the emerging field of digital healthcare epidemiology.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://fredi.hepvs.ch/global/documents/232425
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