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eDoctor: machine learning and the future of medicine

journal contribution
posted on 2018-12-01, 00:00 authored by G S Handelman, Terry Kok, R V Chandra, A H Razavi, M J Lee, Hamed AsadiHamed Asadi
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems. Proponents of ML extol its ability to deal with large, complex and disparate data, often found within medicine and feel that ML is the future for biomedical research, personalized medicine, computer-aided diagnosis to significantly advance global health care. However, the concepts of ML are unfamiliar to many medical professionals and there is untapped potential in the use of ML as a research tool. In this article, we provide an overview of the theory behind ML, explore the common ML algorithms used in medicine including their pitfalls and discuss the potential future of ML in medicine.

History

Journal

Journal of internal medicine

Volume

284

Issue

6

Pagination

603 - 619

Publisher

Wiley

Location

Chichester, Eng.

eISSN

1365-2796

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2018, The Association for the Publication of the Journal of Internal Medicine