Patent ID: 9498163
Filing Date: 2016-11-22
CPC Classification: A61B,G06F,G16H,G16Z,H04L,H04M,H04W,Y02D

Claim Text:
1. A method of determining medical conditions of users participating in a social networking service, the method executed by a computer system and comprising: automatically monitoring destinations and user activities performed at the destinations of a first user via a first electronic device of the first user; receiving user information comprising a first user activity performed at for at least one of the destinations upon a user arriving at the at least one destination; automatically learning activity patterns for the first user activity by automatically associating the user information with the at least one of the destinations, automatically determining a user activity context for the first user activity, and automatically comparing a further context of each of a plurality of further user arrivals to the at least one of the destinations to the user activity context, wherein the activity patterns comprise an eating pattern or an exercise pattern, at a location or with one or more community members; automatically updating context information associated with the at least one destination from the further context of each of the further user arrivals; automatically identifying that the first user is participating in the first user activity upon future user arrivals at the at least one destination as a function of comparing the context information to a future context of each of the future user arrivals, without receiving any manually entered confirmation or manually entered additional user information; automatically determining a decrease in occurrences of the first user activity over a predetermined time period without receiving the any manually entered confirmation or manually entered additional user information; automatically analyzing the decrease to identify a deviation significance, wherein the decrease or the deviation significance is automatically determined using an inference engine, and analyzing the decrease comprises correlating the decrease to user locations and conditions of the current locations during the predetermined time period; automatically correlating the deviation significance to a possible medical condition; and automatically alerting the first user via the first electronic device or a second user via a second electronic device of the possible medical condition upon the deviation significance meeting a predetermined threshold, wherein the alerting includes a visual representation of the deviation significance, and the second user is a medical professional, close community member, or community member engaged in a similar user activity.