Use of big data to identify risk of adverse HIV outcomes
- PMID: 31303556
- PMCID: PMC7784960
- DOI: 10.1016/S2352-3018(19)30191-2
Use of big data to identify risk of adverse HIV outcomes
Comment on
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Combined estimation of disease progression and retention on antiretroviral therapy among treated individuals with HIV in the USA: a modelling study.Lancet HIV. 2019 Aug;6(8):e531-e539. doi: 10.1016/S2352-3018(19)30148-1. Epub 2019 Jul 11. Lancet HIV. 2019. PMID: 31303557 Free PMC article.
References
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- WHO. Retention in HIV programmes: defining the challenges and identifying solutions: meeting report, 13–15 September 2011. https://www.who.int/hiv/pub/meetingreports/retention_programmes/en/ (accessed May 25, 2019).
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