Open AccessArtificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic
Author(s) -
Julia L. Marcus,
Whitney Sewell,
Laura B. Balzer,
Douglas Krakower
Publication year - 2020
Publication title -
current hiv/aids reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.135
H-Index - 56
eISSN - 1548-3576
pISSN - 1548-3568
DOI - 10.1007/s11904-020-00490-6
Subject(s) - human immunodeficiency virus (hiv) , artificial intelligence , machine learning , computer science , population , inference , medicine , psychology , data science , immunology , environmental health
We review applications of artificial intelligence (AI), including machine learning (ML), in the field of HIV prevention.