Abstract: A method of risk score comparison and analysis using wearable devices is illustrated. The method comprising receiving, at a computing device, user data associated with a first user, generating, using the computing device, a first risk score as a function of the user data, and matching, using the computing device, the first user to a second user having a second risk score as a function of user data associated with the second user. Matching the users comprises extracting, from the first risk score, a plurality of first risk score content elements, extracting, from the second risk score, a plurality of second risk score content elements, and matching the plurality of first risk score elements to the plurality of second risk score elements.

Abstract: A method of risk score comparison and analysis using wearable devices is illustrated. The method comprising receiving, at a computing device, user data associated with a first user, generating, using the computing device, a first risk score as a function of the user data, and matching, using the computing device, the first user to a second user having a second risk score as a function of user data associated with the second user. Matching the users comprises extracting, from the first risk score, a plurality of first risk score content elements, extracting, from the second risk score, a plurality of second risk score content elements, and matching the plurality of first risk score elements to the plurality of second risk score elements.

Abstract: In an aspect, systems and methods for text-based conversation with a user, using machine learning, include receiving, using a computing device, at least a feature associated with the user's condition and at least a preference input; generating, using the computing device, a probabilistic output by operating a probabilistic machine learning model input with the at least a feature; classifying, using the computing device, an intervention class by operating a classifying machine learning model input with the probabilistic output and the at least a feature; and, interfacing conversationally, using the computing device, with the user by text generated as a function of the intervention class and the at least a preference input.