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Article

Semi-supervised learning of the electronic health record for phenotype stratification.

Journal of biomedical informatics - 1 Dec 2016

Beaulieu-Jones Brett K, Greene Casey S

Abstract excerpt

Patient interactions with health care providers result in entries to electronic health records (EHRs). EHRs were built for clinical and billing purposes but contain many data points about an individual. Mining these records provides opportunities to extract electronic phenotypes, which can be paired with genetic data to identify genes underlying common human diseases. This task remains challenging: high quality...

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PMID: 27744022
DOI: 10.1016/j.jbi.2016.10.007

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