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Investigating Social Network Peer Effects on HIV Care Engagement Using a Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis of the N2 Cohort Study

Investigating Social Network Peer Effects on HIV Care Engagement Using a Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis of the N2 Cohort Study

Thus, our aim was to construct a fuzzy sociocentric-like network using egocentric confidant and sexual networks, peer referral ties, and digital networks (mobile phone and Facebook contacts), then to identify correlations between each of these networks and the fuzzy sociocentric-like network and status-neutral HIV care engagement among a cohort of Black sexually minoritized and gender expansive people (SGM) in Chicago [17].

Cho-Hee Shrader, Dustin T Duncan, Redd Driver, Juan G Arroyo-Flores, Makella S Coudray, Raymond Moody, Yen-Tyng Chen, Britt Skaathun, Lindsay Young, Natascha del Vecchio, Kayo Fujimoto, Justin R Knox, Mariano Kanamori, John A Schneider

JMIR Public Health Surveill 2025;11:e64497

Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

In 1965, Zadeh [23] of the University of California, Berkeley published the first paper on fuzzy theory, submitting for the first time the concept of fuzzy sets from the perspective of set theory to describe things with fuzziness and to describe things in everyday life by fuzzy logical reasoning, similar to the human thinking patterns and the probability theory proposed by Zadeh [24], describing the difference between randomness and probability, which is considered as the second milestone in the development

Feng Han, ZiHeng Zhang, Hongjian Zhang, Jun Nakaya, Kohsuke Kudo, Katsuhiko Ogasawara

JMIR Form Res 2022;6(11):e38677