Super learner analysis of real-time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non-differentiated care approaches for persons living with HIV in rural Uganda.

导出 OA

翻译打印收藏纠错

作者： Alejandra E,Benitez ^[1] ; Nicholas,Musinguzi ^[2] ; David R,Bangsberg ^[3] ; Mwebesa B,Bwana ^[4] ; Conrad,Muzoora ^[4] ; Peter W,Hunt ^[5] ; Jeffrey N,Martin ^[6] ; Jessica E,Haberer ^[7] ; Maya L,Petersen ^[8]

作者单位： Division of Biostatistics, School of Public Health, University of California Berkeley, Berkeley, CA, USA. ^[1] Global Health Collaborative, Mbarara University of Science and Technology, Mbarara, Uganda. ^[2] Oregon Health & Science University-Portland State University School of Public Health, Portland, OR, USA. ^[3] Department of Internal Medicine, Mbarara University of Science & Technology, Mbarara, Uganda. ^[4] Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, USA. ^[5] Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. ^[6] Massachusetts General Hospital Center for Global Health, Boston, MA, USA. ^[7] Harvard Medical School, Boston, MA, USA. ^[8]

关键词 adherence machine learning real-time adherence monitoring viraemia viral load monitoring virologic failure