Machine learning in medicine: a practical introduction
Author:
Funder
Research Trainees Coordinating Centre
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Epidemiology
Link
http://link.springer.com/content/pdf/10.1186/s12874-019-0681-4.pdf
Reference36 articles.
1. Jordan MI, Mitchell TM. Machine learning: Trends, perspectives, and prospects. Sci (NY). 2015; 349(6245):255–60. https://doi.org/10.1126/science.aaa8415 .
2. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017; 542(7639):115–8. https://doi.org/10.1038/nature21056 .
3. Anderson J, Parikh J, Shenfeld D. Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes: Application of Machine Learning Using Electronic Health Records. J Diabetes. 2016.
4. Ong M-S, Magrabi F, Coiera E. Automated identification of extreme-risk events in clinical incident reports. J Am Med Inform Assoc. 2012; 19(e1):e110–e18.
5. Greaves F, Ramirez-Cano D, Millett C, Darzi A, Donaldson L. Use of sentiment analysis for capturing patient experience from free-text comments posted online,. J Med Internet Res. 2013; 15(11):239. https://doi.org/10.2196/jmir.2721 .
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