PREDICTION OF LIKELIHOOD OF ATTORNEY REPRESENTATION BASED ON SEVERITY OF BODILY INJURY

Abstract

A computer-implemented method comprises providing images and attributes of a damaged vehicle that has been damaged in a collision event to a trained computer vision machine learning model, which in response provides indicators of physical damage sustained by the damaged vehicle during the collision event; providing the indicators of physical damage to a trained classifier machine learning model, which in response provides a predicted class of bodily injury sustained by an occupant of the damaged vehicle during the collision event and a confidence indicator representing a level of confidence that the predicted class of bodily injury is correct; determining a likelihood of attorney representation of the occupant concerning the bodily injury based on the predicted class of bodily injury; and providing the likelihood of attorney representation of the occupant to an analyst for use in evaluating a bodily injury claim related to the occupant.

CPC Classifications