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A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking
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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 models.
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