Abstract: Systems and methods are disclosed for scheduling appointments based on changing health conditions of users. The method includes inputting the initial health dataset of a user to a machine learning model configured to identify other users with similar health profiles. A frequency of monitoring, a frequency of appointments, a duration between the appointments, or a type and length of the appointments is determined to generate a schedule of appointments. A subsequent health dataset of the user is received, and health scores, rule scores, or medication scores for the user are determined based on the subsequent health dataset. A plurality of risk scores for the user is evaluated based on the health scores, rule scores, or medication scores. A recent risk score is determined based on a change in the plurality of risk scores. The schedule of appointments is adjusted based on the recent risk score and the user is notified.

Abstract: A method comprising: monitoring, by a computing system, a callee device for missed phone calls from a caller; determining, by the computing system, based on a behavioral history of the callee, callee health parameters of the callee, and a number of the missed phone calls from the caller, whether an unresponsiveness condition is satisfied; and based on a determination that the unresponsiveness condition is satisfied and in response to a missed phone call from the caller, causing a caller device to present callee health data to the caller.