Invention Publication
- Patent Title: SYSTEMS AND METHODS FOR MACHINE LEARNING MODELS FOR PERFORMANCE MEASUREMENT
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Application No.: US18430480Application Date: 2024-02-01
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Publication No.: US20240169027A1Publication Date: 2024-05-23
- Inventor: Nathaniel Freese , Meera Rao , Rick Wolf , Peyton Rose , Stephen Martin , Sameer Soi , Zachary Taylor , Ye Wang
- Applicant: Included Health, Inc.
- Assignee: Included Health, Inc.
- Current Assignee: Included Health, Inc.
- Current Assignee Address: omitted
- Main IPC: G06F18/2113
- IPC: G06F18/2113 ; G06F16/242 ; G06F16/2458 ; G06F18/10 ; G06F18/214 ; G06N20/00 ; G06Q30/0282

Abstract:
Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.
Information query