Introduction to Machine Learning in Digital Healthcare Epidemiology. (5th December 2018)

• Record Type: Journal Article
• Authors: Roth, Jan A.; Battegay, Manuel; Juchler, Fabrice; Vogt, Julia E.; Widmer, Andreas F.
• Is Part Of: Infection control and hospital epidemiology. Volume 39:Number 12(2018)
• Page Start: 1457
• Page End: 1462
• Publication Date: 2018-12-05
• Subjects: Nosocomial infections -- Epidemiology -- Periodicals; Health facilities -- Sanitation -- Periodicals; Hospital buildings -- Sanitation -- Periodicals; Cross Infection -- Periodicals; Epidemiology -- Periodicals; Hospitals -- Periodicals; Infection Control -- Periodicals; 614.44
• DOI: 10.1017/ice.2018.265
• Languages: English
• ISSNs: 0899-823X

Abstract

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.