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Classification of radiology reports for falls in an HIV study cohort
Objective To identify patients in a human immunodeficiency virus (HIV) study cohort who have fallen by applying supervised machine learning methods to radiology reports of the cohort. Methods We used the Veterans Aging Cohort Study Virtual Cohort (VACS-VC), an electronic health record-based cohort o...
Gardado en:
| Publicado en: | J Am Med Inform Assoc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4954638/ https://ncbi.nlm.nih.gov/pubmed/26567329 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocv155 |
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