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.

Machine learningVisionPlanningEvolutionary computationAI hardwareG06N 20/00G06N 20/20G06F 16/22G06N 5/01G06N 7/01G06N 3/088G06N 3/09G06N 3/096

AI classification

Planning1.00
Machine learning1.00
AI hardware0.99
Evolutionary computation0.80
Vision0.79
Knowledge representation0.13
Speech0.02
Natural language0.01

Ownership

SURGEONCHECK LLC

assignment · 417330142

Assignors

GRANSON, MARC, SHIELDS, JENNIFER, WOOLMAN, THOMAS A.

On an employer assignment, the assignors are typically the inventors.

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