Learning based methods for personalized assessment, long-term prediction and management of atherosclerosis
US10483006B2 · kind B2 · utility
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Key dates
| Filing date | May 19, 2017 |
| Grant date | Nov 19, 2019 |
| Priority date | — |
| Expiry date | Jun 28, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for providing a personalized evaluation of assessment of atherosclerotic plaques for a patient acquiring patient data comprising non-invasive patient data, medical images of the patient, and blood biomarkers. Features of interest are extracted from the patient data and one or more machine learning models are applied to the features of interest to predict one or more measures of interest related to atherosclerotic plaque.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.