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

Abstract: The auxiliary alarm for existing alarm system is adapted for use with an installed security system. The auxiliary alarm for existing alarm system monitors each individual alarm condition monitored by the installed security system. The auxiliary alarm for existing alarm system is organized into a plurality of alarm channels. Each alarm channel contained within plurality of alarm channels corresponds to an individual alarm condition monitored by the installed security system. When the installed security system generates an alarm condition, the auxiliary alarm for existing alarm system turns on an alarm channel selected from a plurality of alarm channels. The selected alarm channel then generates a visual alarm and an audible alarm that clearly identifies the individual alarm condition that triggered the installed security system to generate the general alarm. The auxiliary alarm for existing alarm system comprises a housing and a control system.