Abstract: Various embodiments of this disclosure relate generally to utilizing a health control system. The method comprises receiving user data from one or more first data stores, analyzing the user data to determine a plurality of queries, outputting the plurality of queries, in response to the outputting, receiving user response data, creating user overview data by applying one or more language learning models to the user response data and the user data, determining whether the user overview data includes one or more incongruencies by applying one or more trained first machine-learning models to the user overview data, in response to determining inclusion of the one or more incongruencies, extracting the user overview data that corresponds to the one or more incongruencies, generating an alert by applying the one or more trained first machine-learning models to the user overview data and the one or more incongruencies, if included, and outputting the alert.

Abstract: Various embodiments of this disclosure relate generally to utilizing a health control system. The method comprises receiving user data from one or more first data stores, analyzing the user data to determine a plurality of queries, outputting the plurality of queries, in response to the outputting, receiving user response data, creating user overview data by applying one or more language learning models to the user response data and the user data, determining whether the user overview data includes one or more incongruencies by applying one or more trained first machine-learning models to the user overview data, in response to determining inclusion of the one or more incongruencies, extracting the user overview data that corresponds to the one or more incongruencies, generating an alert by applying the one or more trained first machine-learning models to the user overview data and the one or more incongruencies, if included, and outputting the alert.