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A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients
OBJECTIVE: Phenotyping patients using electronic health record (EHR) data conventionally requires labeled cases and controls. Assigning labels requires manual medical chart review and therefore is labor intensive. For some phenotypes, identifying gold-standard controls is prohibitive. We developed a...
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| 出版年: | J Am Med Inform Assoc |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6913222/ https://ncbi.nlm.nih.gov/pubmed/31722396 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz170 |
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