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Machine learning could help predict adherence to HIV treatment in adolescents

Machine learning could help predict adherence to HIV treatment in adolescents

Nearly 85% of the 1.7 million adolescents with HIV live in sub-Saharan Africa, along with half of the nearly 40 million people in the world living with HIV. Although the government in Uganda provides antiretroviral treatment (ART) for free, adherence to the regimen by adolescents aged 10–16 is low, increasing the potential for the virus to further spread.

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