Decision support system for medical therapy planning
US11756667B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 8, 2019 |
| Grant date | Sep 12, 2023 |
| Priority date | — |
| Expiry date | Jul 13, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. Deep learning may result in features more predictive of outcome than handcrafted features. More comprehensive learning may be provided by using multi-task learning where one of the tasks (e.g., segmentation, non-image data, and/or feature extraction) is unsupervised and/or draws on a greater number of training samples than available for outcome prediction alone.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.