PREDICTION OF MEDICAL TREATMENTS FOR BODILY INJURIES BASED ON SEVERITY OF VEHICLE DAMAGE
Assignee
Mitchell International, Inc.
Inventors
ABHIJEET GULATI, CHRISTOPHER WILLIAMSON, Michael Cwynar
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 a predicted severity class indicating a severity of the physical damage sustained by the damaged vehicle during the collision event; providing the predicted severity class, damaged vehicle physical damage claim data related to the damaged vehicle and the collision event, and bodily injury claim data related to an occupant of the damaged vehicle during the collision event to a trained regression machine learning model, which in response provides a predicted frequency and/or duration of medical treatments to treat bodily injury sustained by the occupant during the collision event; and providing the predicted frequency and/or duration of medical treatments to an analyst for use in evaluating a bodily injury claim related to the occupant.
CPC Classifications
Filing Date
2024-09-17
Application No.
18887947