Published on 24.04.2024 in Vol 10 (2024)

This is a member publication of University of North Carolina at Chapel Hill, School of Pharmacy, Chapel Hill, USA

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50656, first published July 10, 2023.

A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

Yuxin Ni^{1, 2, 3}

; Fengshi Jing^{4, 5}

; Qianyun Wang^{2, 6}

; Yewei Xie^{2, 7}

; Rayner Kay Jin Tan^{2, 10}

; Joseph D Tucker^{2, 11, 12}

; Xumeng Yan^{2, 13}

; Jason J Ong^{11, 14}

; Qingpeng Zhang^{15, 16}

; Hongbo Jiang¹⁷

; Wencan Dai¹⁸

; Liqun Huang¹⁸

; Wenhua Mei¹⁸

; Weiming Tang^{1, 2}

Article Authors Cited by (1) Tweetations (4) Metrics

Journals

Jaiteh M, Phalane E, Shiferaw Y, Voet K, Phaswana-Mafuya R. Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review. Algorithms 2024;17(8):362 View