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A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking
OBJECTIVE: The study sought to build predictive models of next menstrual cycle start date based on mobile health self-tracked cycle data. Because app users may skip tracking, disentangling physiological patterns of menstruation from tracking behaviors is necessary for the development of predictive m...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714275/ https://www.ncbi.nlm.nih.gov/pubmed/34534312 http://dx.doi.org/10.1093/jamia/ocab182 |