Evaluating drug-adverse event causality based on an integration of heterogeneous drug safety causality models
US11120914B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 2, 2018 |
| Grant date | Sep 14, 2021 |
| Priority date | — |
| Expiry date | Jul 6, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H70/40
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Mechanisms are provided that implement a plurality of heterogeneous causality models and a metaclassifier for predicting a likelihood of causality between a drug and an adverse event (AE). The plurality of heterogenous causality models process drug information for the drug to generate a plurality of risk predictions for a drug and AE pair. The risk predictions include at least one of a risk score or a risk label indicating a probability of the AE occurring with use of the drug. The plurality of heterogenous causality models provide the risk predictions, associated with the drug and AE pair, to a metaclassifier which generates a single causality score value indicative of a probability of causality between the drug and the AE, of the drug and AE pair, based on an aggregation of the risk predictions from the plurality of heterogenous causality models. The metaclassifier outputs the single causality score value in association with information identifying the drug and AE pair.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.