Relational machine learning for electronic health record-driven phenotyping.
Objective: Electronic health records (EHR) offer medical and pharmacogenomics research unprecedented opportunities to identify and classify patients at risk. EHRs are collections of highly inter-dependent records that include biological, anatomical, physiological, and behavioral observations. They c...
| Publicado en: | Journal of Biomedical Informatics Vol. 52; pp. 260 - 271 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Dec2014
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| Acceso en línea: | Ver este registro en EBSCOhost |