Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning.
Interventions to teach protective behaviors may be differentially effective within an adolescent population. Identifying the characteristics of youth who are less likely to respond to an intervention can guide program modifications to improve its effectiveness. Using comprehensive longitudinal data...
| Publicado en: | AIDS & Behavior Vol. 27; no. 5; pp. 1392 - 1403 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2023
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| Acceso en línea: | Ver este registro en EBSCOhost |