Clinical predictive analytics system
US12381012B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 25, 2021 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Jan 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Predictive models are built for the estimation of adverse health likelihood by identifying candidate model risk variables, constructing a model form for an outcome likelihood model that estimates the likelihood of an adverse outcome type using a group of risk variables selected from the set of candidate model risk variables and by classifying each selected risk variable into either a baseline group or a dynamic group. Additionally, predictive models are built by constructing separate baseline and dynamic outcome likelihood model forms and by fitting the constructed model forms to a training data set to produce final models to be used as scoring functions that compute a baseline outcome likelihood and a dynamic outcome likelihood for patient data that is not represented in the training data set. The predictive models can be used with alerting and attribution algorithms to predict the likelihood of an adverse outcome for individuals receiving care.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.