Clinical case search and generation system and method based on a probabilistic encoder-generator framework
US11928610B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 11, 2019 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Sep 2, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training a probabilistic encoder-decoder having a latent space, the method including: extracting different types of medical data for a group of individuals; creating a data matrix X including the extracted medical data, wherein each row of the data matrix X includes data for one of the group of individuals; creating condition matrix C including features to define a clinical condition, wherein each row of the condition matrix C includes the condition data for one of the group of individuals; and training the encoder and the decoder to learn the latent space by minimizing the reconstruction loss and using a regularization effect to force clinically similar inputs to be close together in the latent space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.