Findings from a transformer-based prediction model: social norms and confidentiality are associated with STIs risk in British men and women

Abstract Background Women were disproportionately affected by sexually transmitted infections (STIs), both physically and psychologically. The underlying reasons are likely multifaceted, ranging from individual behavior to relationship power, gender norms, and economic inequities. This study aims to...

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Detalhes bibliográficos

Principais autores:	Wei Yu, Yijin Chen, Bingyang Liu, Endai Huang, Fei Guo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-02-01
coleção:	BMC Public Health
Assuntos:	Sexually transmitted infections Deep learning Predictive model Natsal-3
Acesso em linha:	https://doi.org/10.1186/s12889-026-26602-2
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