Abstract: A system, method, and computer program product for passively informed mental health risk prediction. The system may include receiving mental health risk input signals from a blood glucometer and other devices. The mental health risk signals may include glucometer data, demographic data, and other data. The glucometer data for the subject may include at least one blood glucose value. The mental health risk input signals are input into a machine learning system. The machine learning system has been previously trained with mental health risk input signals and mental health status data for a plurality of subjects. The machine learning system outputs a prediction of mental health risk for the subject. The machine learning system may comprise a neural network.