Building models, building capacity: A review of participatory machine learning for HIV prevention
Mark Sendak(Duke University), Lance Okeke(Duke University), Meredith E. Clement(Louisiana State University Health Sciences Center New Orleans), Stephen Lim(University of Waikato), Jee Young Kim(Duke Institute for Health Innovation), Shannon Widman(Duke University), Tonya Jagneaux(Our Lady of the Lake Regional Medical Center), Alifia Hasan(Duke Institute for Health Innovation), Wayne Wilbright(Louisiana State University Health Sciences Center New Orleans), Jennifer Thomas(Duke University), Catherine O’Neal(Louisiana State Department of Health and Hospitals), John Couk(Louisiana State University Health Sciences Center New Orleans), Tamachia Davenport(New Orleans Baptist Theological Seminary), Shirley Lolis(Louisiana State Department of Health and Hospitals), Meg Young(Data & Society Research Institute), Clare Kelsey(Louisiana State University Health Sciences Center New Orleans), Suresh Balu(Duke Institute for Health Innovation)
Cited by 2
Related Papers
Cabotegravir for HIV Prevention in Cisgender Men and Transgender Women
|New England Journal of Medicine|2021|891
Twice-Yearly Lenacapavir for HIV Prevention in Men and Gender-Diverse Persons
|New England Journal of Medicine|2024|260
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
|JMIR Medical Informatics|2019|230
Long-acting injectable cabotegravir for the prevention of HIV infection
|Current Opinion in HIV and AIDS|2019|106