A method includes receiving health data for a patient. Based on the health data for the patient, a risk score is computed, indicating the patient's risk of developing postpartum depression, as a function of features selected from the health data for the patient. If the risk score exceeds a threshold value, treatment recommendations are provided based on the health data for the patient. The health data may include anxiety history, use of antidepressants, mood disorder history, an indicator of whether there has been depression in pregnancy, an indicator of whether there has been anxiety in pregnancy, an indicator of whether there has been mental disorder in pregnancy, and a history of other disorders.
Using Electronic Health Records and Machine Learning to Predict and Mitigate Postpartum Depression