US 12,220,237 B2
System and method of monitoring mental health conditions
Roy Cohen, Dublin (IE); and Girish Srinivasan, Palatine, IL (US)
Assigned to Behavidence Inc., New York, NY (US)
Filed by Behavidence Inc., New York City, NY (US)
Filed on Sep. 23, 2022, as Appl. No. 17/951,408.
Claims priority of provisional application 63/247,492, filed on Sep. 23, 2021.
Prior Publication US 2023/0091240 A1, Mar. 23, 2023
Int. Cl. A61B 5/16 (2006.01); A61B 5/00 (2006.01); G06F 18/20 (2023.01); G16H 20/70 (2018.01)
CPC A61B 5/165 (2013.01) [G06F 18/295 (2023.01); G16H 20/70 (2018.01)] 16 Claims
OG exemplary drawing
 
1. A computer implemented method for assessing mental health of a person, the method comprising:
recording, by a processor of a user's mobile device, digital activity data of the user on the mobile device for a predetermined duration, wherein the digital activity data does not include personal content of the user;
applying, by the processor of the user's mobile device, the digital activity data to a plurality of machine learning models, wherein each of the machine learning models represents a digital phenotype for a different mental health condition;
determining one or more behavioral profiles to train the machine learning models, wherein the behavioral profiles are clustered based on digital phenotypes indicative of at least one mental health condition;
determining, by the processor of the user's mobile device, a similarity score for each mental health condition corresponding to each of the plurality of machine learning models based on comparing an output of the respective machine learning model to a digital phenotype for the corresponding mental health condition, wherein the similarity score is a confidence level for a match to someone with that specific mental health condition;
outputting, at a user's display, the at least one mental health similarity score; and
predicting, by the processor, at least one mental health condition of the user based on the calculated similarity scores,
wherein the predetermined duration is modified in real-time depending upon the at least one mental health condition.