A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data

Kathy Li, Iñigo Urteaga, Amanda Shea +3

Mobile health (mHealth) apps such as menstrual trackers provide a rich source of self-tracked health observations that can be leveraged for health-relevant research. However, such…