Abstract

Machine learning has the potential to improve the accuracy of period tracking applications by analyzing patterns in menstrual cycle data. The ability to predict the timing of menstrual cycles is important for women's health, and can be used to provide personalized reminders and notifications, as well as to better understand and manage menstrual cycles.