AI SYSTEMS AND METHODS FOR ENVIRONMENTAL EXPOSURE AND EARLY HEALTH RISK ALERTS

Abstract: a system for providing geolocated, early health alerts is configured to receive a geolocation and a future time, load current exposure variables for the geolocation and a recent increment, where the current exposure variables represent conditions that are potentially detrimental to the health of an individual, analyze by an artificial intelligence engine the current exposure variables to identify a pattern in the current exposure variables and use the pattern to forecast future exposure variables, based on the personal health and data attributes from an individual's health profile and the forecasted future exposure variables, determine that the individual is at risk of a health event, and generate an alert to the individual of the health event, the alert associated with the geolocation and future time.

Inventor(s): Donald Leka

CPC Classification: G08B31/00 (Predictive alarm systems characterised by extrapolation or other computation using updated historic data)

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