Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania is a research paper published in PLOS Global Public Health (2022). On theSindex it has a DataRank of 0. It has been cited 29 times.
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National Institute of Mental Health
Grant: R01MH112432
NIMH NIH HHS
Grant: R01 MH125746
National Institutes of Health
Grant: 5R01MH112432-03
Optimizing the efficiency and implementation of cash transfers to improve adherenceto antiretroviral therapy
FWCI
1.79
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Additional file 1 of Rudi Kundini, Pamoja Kundini (RKPK): study protocol for a hybrid type 1 randomized effectiveness-implementation trial using data science and economic incentive strategies to strengthen the continuity of care among people living with HIV in Tanzania
Additional file 1 of Rudi Kundini, Pamoja Kundini (RKPK): study protocol for a hybrid type 1 randomized effectiveness-implementation trial using data science and economic incentive strategies to strengthen the continuity of care among people living with HIV in Tanzania