View source for 20240028924. SYSTEMS AND METHODS FOR PREDICTING PERFORMANCE METRICS USING COHORTS simplified abstract (Change Healthcare Holdings, LLC)

=SYSTEMS AND METHODS FOR PREDICTING PERFORMANCE METRICS USING COHORTS=


==Organization Name==

[[:Category:Change Healthcare Holdings, LLC|Change Healthcare Holdings, LLC]]


[[Category:Change Healthcare Holdings, LLC]]

==Inventor(s)==

[[:Category:Eldon A. Wong of Vancouver (CA)|Eldon A. Wong of Vancouver (CA)]][[Category:Eldon A. Wong of Vancouver (CA)]]

==SYSTEMS AND METHODS FOR PREDICTING PERFORMANCE METRICS USING COHORTS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240028924 titled 'SYSTEMS AND METHODS FOR PREDICTING PERFORMANCE METRICS USING COHORTS

==Simplified Explanation==

The patent application describes systems and methods for estimating a performance metric based on cohorts. Performance metrics of entities are monitored over time, and entities with similar metrics are grouped into cohorts. The computing environment characteristics of each entity are determined and used to define the characteristics of the cohort. When a new entity inquires about its expected performance metrics, the characteristics of its computing environment are determined to assign it to a cohort. The average performance metrics of entities in the determined cohort are then provided to the new entity as the expected performance metrics.

* The patent application proposes a system for estimating performance metrics based on cohorts.
* Performance metrics of entities are monitored and entities with similar metrics are grouped into cohorts.
* The computing environment characteristics of each entity are determined and used to define the characteristics of the cohort.
* When a new entity inquires about its expected performance metrics, its computing environment characteristics are used to assign it to a cohort.
* The average performance metrics of entities in the determined cohort are provided to the new entity as the expected performance metrics.

Potential Applications:
* This technology can be applied in various industries where performance metrics are important, such as software development, online services, and financial analysis.
* It can be used to estimate the expected performance metrics of new entities, allowing for better decision-making and resource allocation.

Problems Solved:
* The technology solves the problem of estimating performance metrics for new entities without historical data.
* It addresses the challenge of grouping entities with similar performance metrics to provide accurate estimates.

Benefits:
* The technology provides a method for estimating performance metrics based on cohorts, which can improve decision-making and resource allocation.
* It allows new entities to have an understanding of their expected performance metrics based on the characteristics of their computing environment.
* The system provides a scalable and efficient way to estimate performance metrics without relying solely on historical data.


==Original Abstract Submitted==

systems and methods for estimating a performance metric based on cohorts are provided. one or more performance metrics with respect to an application are monitored for entities over time. entities with similar performance metrics are grouped into cohorts. characteristics of a computing environment for each entity are determined. the characteristics of the entities in each cohort are used to define the characteristics of the cohort. later, when a new entity inquires about the performance metrics that the entity could expect, the characteristics of the computing environment of the new entity are determined and are used to determine the cohort that the new entity belongs to. the average performance metrics of the entities in the determined cohort can be return to the new entity as the expected performance metrics.



[[Category:G06N5/04]]