Systems and methods for predictive modeling
US12288014B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 9, 2024 |
| Grant date | Apr 29, 2025 |
| Priority date | — |
| Expiry date | Sep 9, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Discussed herein are methods and systems for an interdependent series/suite of AI models. In one embodiment, a processor receives projection assumption inputs from a user device and executes a population builder machine learning model to predict a dynamic adjustment table. It applies the model to population data to generate a value population file, which simulates a subset of the population based on the predicted table. The file contains value cells representing instances of a product. The device then runs a mortality machine learning model to determine mortality data for the product using the simulated population. Finally, it executes a flow projection model to generate a projection report for the product, incorporating mortality data and projection assumptions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.