Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Joshua Fieggen"'
Publikováno v:
Frontiers in Reproductive Health, Vol 4 (2022)
Despite advances in reducing HIV-related mortality, persistently high HIV incidence rates are undermining global efforts to end the epidemic by 2030. The UNAIDS Fast-track targets as well as other preventative strategies, such as pre-exposure prophyl
Externí odkaz:
https://doaj.org/article/f7fe6509f03c487bb3a5a63d171318f7
Autor:
Mohammed Majam, Bradley Max Segal, Joshua Fieggen, Leanne Singh, Eli Smith, Lucas Etienne Hermans, Mothepane Phatsoane, Lovkesh Arora, Samanta Tresha Lalla-Edward
BACKGROUND Digital data collection and the associated mobile health technologies have allowed for the recent exploration of machine learning (ML) as a tool for combatting the HIV epidemic. Machine learning has been found to be useful both in HIV risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78d0f4598f34941f75be67e19a4ed2b4
https://doi.org/10.2196/preprints.39506
https://doi.org/10.2196/preprints.39506
