Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record
- PMID: 28263936
- PMCID: PMC5832331
- DOI: 10.1161/CIRCOUTCOMES.116.003308
Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record
Keywords: Editorials; heart failure; linear models; machine learning; medicine; risk factors.
Conflict of interest statement
Comment on
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.Circ Cardiovasc Qual Outcomes. 2016 Nov;9(6):649-658. doi: 10.1161/CIRCOUTCOMES.116.002797. Epub 2016 Nov 8. Circ Cardiovasc Qual Outcomes. 2016. PMID: 28263940 Free PMC article.
References
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- Echouffo-Tcheugui JB, Greene SJ, Papadimitriou L, Zannad F, Yancy CW, Gheorghiade M, Butler J. Population risk prediction models for incident heart failure: a systematic review. Circ Heart Fail. 2015;8:438–447. - PubMed
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