Virginia J Vitzthum

Despite its centrality to women's health, the menstrual cycle remains understudied in computational health research due to its complexity, variability, and limited data availability. Recent advances in generative artificial intelligence (AI…

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 trackin…

The menstrual cycle is a key indicator of overall health for women of reproductive age. Previously, menstruation was primarily studied through survey results; however, as menstrual tracking mobile apps become more widely adopted, they provi…