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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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| Publicado no: | J Healthc Inform Res |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2019
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| Assuntos: | |
| Acesso em linha: | 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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