Hierarchical self-learning system for computerized clinical diagnostic support
US11361849B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 10, 2014 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | May 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H70/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Individual computer diagnostic support (CDS) systems are coupled to a ‘global’ CDS system, each of the CDS systems using the same learning system or the same learning system technique. Training and testing cases from each of the individual CDS systems are provided to the global CDS system, and the global CDS system uses these training cases to produce learning system parameters based on the training cases. Having more training cases than any of the individual CDS systems, the parameters provided by the global CDS system offer a higher quality diagnostic output than any of the individual CDS systems. The learning system parameters at the global CDS system may be provided to each of the individual CDS systems, to update the parameters of the individual CDS systems' learning system. The global CDS may also refine and/or adjust the structure of the embodied learning systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.