Patent · US Active

Machine learning frameworks utilizing inferred lifecycles for predictive events

US12154039B2 · kind B2 · utility

0Cited by

6References

17Claims

0Family size

Assignee

Optum Technology, Inc. · US

Inventors

Rama Krishna Singh · Noida, IN
Priyank Paras Jain · Milpitas, US
Ravi Pande · Noida, IN

Key dates

Filing date	Dec 14, 2020
Grant date	Nov 26, 2024
Priority date	—
Expiry date	Sep 24, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG16H10/60
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

There is a need for more accurate and more efficient predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a method includes mapping a primary event having a primary event code to a related subset of a plurality of candidate secondary events by at least processing one or more lifecycle-related attributes for the primary event code using a lifecycle inference machine learning model to detect an inferred lifecycle for the primary event.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.