US 11,676,704 B2
Systems and methods for processing electronic images for health monitoring and forecasting
Christopher Kanan, Rochester, NY (US); Rodrigo Ceballos Lentini, Long Island City, NY (US); Jillian Sue, New York, NY (US); Thomas Fuchs, New York, NY (US); and Leo Grady, New York, NY (US)
Assigned to Paige.AI, Inc., New York, NY (US)
Filed by PAIGE.AI, Inc., New York, NY (US)
Filed on Nov. 30, 2020, as Appl. No. 17/107,121.
Claims priority of provisional application 62/951,491, filed on Dec. 20, 2019.
Prior Publication US 2021/0193300 A1, Jun. 24, 2021
Int. Cl. G06K 9/00 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 7/00 (2017.01)
CPC G16H 30/40 (2018.01) [G06T 7/0012 (2013.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for monitoring health of a population, the method comprising:
determining at least one relationship between at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable;
estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions;
determining a first trend in a relationship between the data variable and the geographic region at a current time;
determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time;
determining if the first trend in the relationship between the data variable and the geographic region is irregular within a predetermined threshold with respect to the second trend between the data variable and the geographic region from the at least one prior point in time; and
upon determining that the first trend in the relationship between the data variable and the geographic region is irregular within a predetermined threshold, generating an alert.