Predicting polycystic ovary syndrome (PCOS) with machine learning algorithms from electronic health records.

Among an at-risk population, machine learning algorithms were used to predict PCOS. This approach may guide early detection of PCOS within EMR-interfaced populations to facilitate counseling and interventions that may reduce long-term health consequences, however, additional studies including an entire health system patient population are necessary for model validation.