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Identifying Breast Cancer Distant Recurrences from Electronic Health Records Using Machine Learning
Accurately identifying distant recurrences in breast cancer from the electronic health records (EHR) is important for both clinical care and secondary analysis. Although multiple applications have been developed for computational phenotyping in breast cancer, distant recurrence identification still...
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| 出版年: | J Healthc Inform Res |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer International Publishing
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7678240/ https://ncbi.nlm.nih.gov/pubmed/33225204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s41666-019-00046-3 |
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