Using machine learning model to automatically predict updated assessment score

US12243065B2 · kind B2 · utility

Assignee

• TRUIST BANK · US

Inventors

• Dontá Lamar Wilson · Charlotte, US
• Jane Moury Kane · Winston-Salem, US
• Kenneth William Cluff · Powhatan, US
• Peter Councill · Richmond, US
• Qing Li · San Diego, US
• James Xu · Hercules, US

Key dates

• Filing date: Jul 27, 2022
• Grant date: Mar 4, 2025
• Expiry date: May 31, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0203
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to generate a predicted assessment score with respect to a second user by correlating a personal data set of the second user to the personal data set of at least one of the first users, with the generating of the predicted assessment score occurring automatically when a data entry of the personal data set of the second user is determined to have changed by the computing system. The computing system is configured to report the automatically generated predicted assessment score to the second user via a user device of the second user.