Entity relation mining method based on biomedical literature
US12165772B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2021 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Oct 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/295
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides an entity relation mining method based on a biomedical literature, including the following steps: querying a disease-associated biomedical literature in a public database, and performing data preprocessing to obtain biomedical text data; performing biomedical named entity recognition on obtained biomedical text data in combination with a regex matching pattern and a deep learning model; and mining an entity relation with transfer learning and reinforcement learning based on an entity recognition result. By acquiring the disease-associated biomedical literature from a network, extracting an abstract and a title and performing entity recognition and relation mining, the present disclosure can effectively recognize biomedical noun entities in the literature and mine potential relations between various entities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.