Using Machine Learning to Identify Predictors of Sexually Transmitted Infections Over Time Among Young People Living With or at Risk for HIV Who Participated in ATN Protocols 147, 148, and 149.
Sex Transm Dis
; 50(11): 739-745, 2023 Nov 01.
Article
in En
| MEDLINE
| ID: mdl-37643402
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
Sex Transm Dis
Year:
2023
Document type:
Article
Affiliation country:
Canadá
Country of publication:
Estados Unidos