eDoctor: machine learning and the future of medicine

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 bio...

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Vydané v:Journal of internal medicine Ročník 284; číslo 6; s. 603 - 619
Hlavní autori: Handelman, G. S., Kok, H. K., Chandra, R. V., Razavi, A. H., Lee, M. J., Asadi, H.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Blackwell Publishing Ltd 01.12.2018
Predmet:
Artificial intelligence
Global health
Health care
Learning algorithms
Machine learning
Medical personnel
Medicine
Precision medicine
supervised machine learning
unsupervised machine learning
supervised machine learning
unsupervised machine learning
medicine
machine learning
artificial intelligence
ISSN:0954-6820, 1365-2796, 1365-2796
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
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ISSN:0954-6820
1365-2796
1365-2796
DOI:10.1111/joim.12822