Computerized methods and systems for machine-learned multi-output multi-step forecasting of time-series data
US11783006B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2020 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Dec 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A forecasting system includes a processor and memory. The memory stores a time-series data store and instructions. The instructions include, in response to receiving a forecasting request from a user device for an entity including input data, determining a measure of uncertainty associated with the input data. The input data includes a proposed action and a forecast period. The instructions include obtaining a set of historical data from the time-series data store associated with the proposed action and generating a forecast model using the set of historical data, the input data, and the measure of uncertainty to predict outcomes incrementally during the forecast period. The instructions include determining a predicted outcome using the forecast model for the entity at an end of the forecast period and, in response to the predicted outcome exceeding a threshold, generating a communication indicating the proposed action and transmitting the communication to the user device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.