Machine learning systems for computer generation of automated recommendation outputs

US11836768B2 · kind B2 · utility

Assignee

• Cigna Intellectual Property, Inc. · US

Inventor

• Jeffrey R. McCormick · Cheshire, US

Key dates

• Filing date: Dec 9, 2022
• Grant date: Dec 5, 2023
• Expiry date: Dec 9, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0205
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A computer-implemented method includes determining whether historical profile data structures are stored in a database with corresponding structured supplemental data and selected health care plan option identifiers of a set of health care plan option identifiers. The method includes generating historical feature vectors using the historical data structures stored in the database or generating the historical feature vectors using created sample profile data structures. The method includes training machine learning models using the generated historical feature vectors, selecting one of the machine learning models for use in generating recommendation outputs, presenting an interactive voice interface to an entity to generate audio questions and prompts for obtaining response data from the entity, classifying voice survey responses of the entity, and generating feature vectors. The method includes processing, using the selected machine learning model, the feature vectors to generate the recommendation outputs, and transforming a user interface to display the recommendation output.