Abstract: In an embodiment, a computer-implemented method comprises receiving at a server computer via a data communication network, a plurality of raw sensor data and a plurality of self-report score values from a plurality of mobile computing devices; using the server computer, for a particular mobile computing device from among the plurality of mobile computing devices; calculating a plurality of inference data based upon transformations of the raw sensor data and the plurality of self-report score values; the server computer accessing via the network a patient electronic health record that is associated with a user of the particular mobile computing device; inputting the raw sensor data and the electronic health record to a plurality of trained machine learning models; operating the plurality of trained machine learning models in an inference phase to generate outputs specifying probabilities that a user of the particular mobile computing device would respond above a particular threshold for each item of the patien