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

ConclusionsDisentangling physiological patterns of menstruation from adherence allows for accurate and informative predictions of menstrual cycle start date and is necessary for mobile tracking apps. The proposed predictive model can support app users in being more aware of their self-tracking behavior and in better understanding their cycle dynamics.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Source Type: research