Patent · US Active

Machine learning predictive deviation and remediation

US11436633B2 · kind B2 · utility

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7Claims
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Key dates

Filing dateJun 27, 2019
Grant dateSep 6, 2022
Priority date
Expiry dateAug 15, 2040

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06Q30/0202
  • WIPO fieldIT methods for management
  • WIPO sectorElectrical engineering

Abstract

A machine-learning algorithm is trained with features relevant to a modeled set of input directed to patterns of activities specific to a given behavior. The trained algorithm is also trained on success and failures of remediation actions that change or do not change the given behavior. The trained algorithm is then provided the modeled set of input at predefined intervals of time and supplies as output expected deviations/changes that are predicted for the given behavior along with an indication as to whether the remediation actions are likely to prevent or change the expected behaviors.

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