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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 AsadiMachine 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 medicineVolume
284Issue
6Pagination
603 - 619Publisher
WileyLocation
Chichester, Eng.Publisher DOI
eISSN
1365-2796Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2018, The Association for the Publication of the Journal of Internal MedicineUsage metrics
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Categories
Keywords
artificial intelligencemachine learningmedicinesupervised machine learningunsupervised machine learningScience & TechnologyLife Sciences & BiomedicineMedicine, General & InternalGeneral & Internal MedicineARTIFICIAL-INTELLIGENCENEURAL-NETWORKSLOGISTIC-REGRESSIONIMAGE RETRIEVALCANCERCLASSIFICATIONPREDICTIONVALIDATIONDIAGNOSISMODELS