Machine learning in ‘big data’: handle with care
Author:
Affiliation:
1. Duke Clinical Research Institute, Durham, NC, USA
2. North Carolina State University, Raleigh, NC, USA
3. Duke Center for Atrial Fibrillation, Electrophysiology Section, Duke University Medical Center, Durham, NC, USA
Funder
National Institute of Health
NIH
Publisher
Oxford University Press (OUP)
Subject
Physiology (medical),Cardiology and Cardiovascular Medicine
Link
http://academic.oup.com/europace/advance-article-pdf/doi/10.1093/europace/euz130/28670710/euz130.pdf
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3. Analysis of machine learning techniques for heart failure readmissions;Mortazavi;Circ Cardiovasc Qual Outcomes,2016
4. Opening the black box of machine learning;The Lancet Respir Med,2018
5. A novel atrial fibrillation prediction model for Chinese subjects: a nationwide cohort investigation of 682 237 study participants with random forest model;Hu;Europace,2019
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