Detecting infection using personalized criteria

Abstract

A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Some symptoms are identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Those comparisons are weighted to form a composite metric, which is compared to a composite threshold to determine if the user is likely to have contracted the disease. Because different individuals are at higher risk of contracting certain diseases, the determined based on specific characteristics of the user (e.g., potential comorbidities, age, gender, ethnic, racial, cultural, or economic status, geographic location, level of interaction with other individuals, etc.) that that have been identified in medical literature as increasing the individual's risk.