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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-12-01
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| Series: | EClinicalMedicine |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589537019302020 |