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Algorithmic prediction of HIV status using nation-wide electronic registry data
BACKGROUND: Late HIV diagnosis is detrimental both to the individual and to society. Strategies to improve early diagnosis of HIV must be a key health care priority. We examined whether nation-wide electronic registry data could be used to predict HIV status using machine learning algorithms. METHOD...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933258/ https://www.ncbi.nlm.nih.gov/pubmed/31891137 http://dx.doi.org/10.1016/j.eclinm.2019.10.016 |