PREDICTION OF STANDARD MEDICAL DIAGNOSTIC CODES BASED ON VEHICLE DAMAGE

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, wherein responsive to the first inference input, which in response provides indicators of physical damage sustained by the damaged vehicle during the collision event; providing the indicators to a trained classifier machine learning model, which in response provides predicted standard medical diagnostic codes related to bodily injury sustained by an occupant of the damaged vehicle during the collision event and confidence indicators representing levels of confidence that the one or more predicted standard medical diagnostic codes are correct; and providing the predicted standard medical diagnostic codes and the confidence indicators to an analyst for use in evaluating a bodily injury claim related to the occupant of the damaged vehicle and the collision event.

CPC Classifications