Weighted adaptive filtering based loss function to predict the first occurrence of multiple events in a single shot
US11741381B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 14, 2020 |
| Grant date | Aug 29, 2023 |
| Priority date | — |
| Expiry date | Sep 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is a need for more effective and efficient prediction data analysis. This need can be addressed by, for example, solutions for performing first-occurrence multi-disease prediction. In one example, a method includes determining a per-event-type loss value for each event type of a group of event types; determining a cross-event-type loss value based at least in part on each per-event-type loss value; training a multi-event-type prediction model based at least in part on the cross-event type loss value; generating a first-occurrence prediction based at least in part on the multi-event-type prediction model, wherein the first occurrence-prediction comprises a first-occurrence prediction item for each event type of the group of event types; and performing one or more prediction-based actions based at least in part on the first-occurrence prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.