Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health Application
Erika Rodriguez, Daniel Thomas, Anna Druet, Marija Vlajic Wheeler, Kevin James Lane, Shruthi Mahalingaiah
This paper develops a mobile app feature to estimate PCOS risk using a Bayesian network and evaluates its accuracy against physician assessments.
JMIR Formative Research · Mar 29, 2020Peer-reviewedBioinformatics