SELECTION SYSTEM FOR MACHINE LEARNING MODULE FOR DETERMINING TARGET METRICS FOR EVALUATION OF HEALTH CARE PROCEDURES AND PROVIDERS
Patent №
US 11,816,539
Granted
2023-11-14
Filed 2017
Owner
SURGEONCHECK LLC
Lab
—
AI components
5
ml · vision · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15469149
A method and system to determine a rating for evaluation of a health care procedure is disclosed. The system includes a user interface accepting a request for a rating of the health care procedure. A database includes input data metrics each related to one of health care provider quality metrics, health care provider cost metrics, health care facility quality metrics, and health care facility quality metrics. A machine learning system is trained to provide a rating target value for the health care procedure based on the neural processing of the data factors. The system evaluates a number of machine learning algorithms to determine the best learning algorithm for a particular rating target value based on test data supplied to the machine learning algorithms. The best learning algorithm for the particular rating target value is used by the system to determine the rating for evaluation.
AI classification
Ownership
SURGEONCHECK LLC
assignment · 417330142
Assignors
GRANSON, MARC, SHIELDS, JENNIFER, WOOLMAN, THOMAS A.
On an employer assignment, the assignors are typically the inventors.