Method of using machine learning to predict problematic actions within an organization
US11288616B2 · kind B2 · utility
1Cited by
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20Claims
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Key dates
| Filing date | Feb 1, 2019 |
| Grant date | Mar 29, 2022 |
| Priority date | — |
| Expiry date | Jun 20, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method to predict problematic actions in an organization, executed by a processing device, includes accessing stored employee-related data, such as at least one of emails, surveys, minutes, or records of conversations, identifying a subset of the employee-related data that is associated with an employee, and predicting, based on the subset of the employee-related data associated with the employee, at least one of a likelihood that the employee is engaged in an adverse relation with other employees or a likelihood that the employee is to resign from the organization within a period of time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.