Application of machine learning techniques to profile smoking behavior of adolescent girls in Ghana [version 2; peer review: 1 approved, 2 approved with reservations]

Background Tobacco use trends among adolescents in low- and middle-income countries, and in particular narrowing gender gaps, highlight the need for interventions to prevent and/or reduce tobacco use among adolescent girls. We evaluated a social marketing program in Ghana discouraging tobacco use am...

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Bibliografische Detailangaben

Hauptverfasser:	Ariadna Vargas, Sara V. Flanagan, Jana Smith
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	F1000 Research Ltd 2024-11-01
Schriftenreihe:	Gates Open Research
Schlagworte:	machine learning synthetic data smoking tobacco adolescent girl algorithm eng
Online-Zugang:	https://gatesopenresearch.org/articles/8-2/v2
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