UTILIZING A MACHINE LEARNING MODEL TO IDENTIFY ACTIVITIES AND DEVIATIONS FROM THE ACTIVITIES BY AN INDIVIDUAL

摘要

#$%^&*AU2018264140A120190606.pdf#####ABSTRACT A device receives historical information associated with an individual to be monitored, wherein the historical information includes at least one of information associated with a health history of the individual, health histories of other individuals, activities of the individual, or activities of the other individuals. The device receives monitored information associated with the individual from one or more client devices associated with the individual, and preprocesses the monitored information to generate pre-processed monitored information that is understood by the trained machine learning model. The device processes the preprocessed monitored information, with a trained machine learning model, to identify one or more activities of the individual and one or more deviations from the one or more activities by the individual, and performs one or more actions based on the one or more activities of the individual and/or the one or more deviations from the one or more activities.0095-0438AU Page 1/12 Co 0 0 E LO co .00 0 a 00Cl CLI 00 00 00 Lo MC 00 0 00L. 0 o 0 0 L) 0 4-0 U0 a) 72a) 0 0 cn-0 co 0 C a) CC_ o) Cc-