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Introduction to Machine Learning in Digital Healthcare Epidemiology

Published online by Cambridge University Press:  05 November 2018

Jan A. Roth ,
Manuel Battegay ,
Fabrice Juchler ,
Julia E. Vogt  and
Andreas F. Widmer Open the ORCID record for Andreas F. Widmer [Opens in a new window]
Jan A. Roth
Affiliation:
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland
Manuel Battegay
Affiliation:
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
Fabrice Juchler
Affiliation:
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
Julia E. Vogt
Affiliation:
Adaptive Systems and Medical Data Science, Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland Swiss Institute of Bioinformatics, Basel, Switzerland
Andreas F. Widmer*
Affiliation:
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
*
Author for correspondence: Andreas F. Widmer, MD, MS, Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland. E-mail: [email protected]
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Abstract

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.

Type
Review
Information
Infection Control & Hospital Epidemiology , Volume 39 , Issue 12 , December 2018 , pp. 1457 - 1462
Copyright
© 2018 by The Society for Healthcare Epidemiology of America. All rights reserved. 

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Footnotes

a

Authors of equal contribution.

Cite this article: Roth JA, et al. (2018). Introduction to Machine Learning in Digital Healthcare Epidemiology. Infection Control & Hospital Epidemiology 2018, 39, 1457–1462. doi: 10.1017/ice.2018.265

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