Traditional Chinese medicine syndrome classification method based on multi-graph attention
US11948693B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2023 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Jun 20, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The present disclosure provides a traditional Chinese medicine (TCM) syndrome classification method based on multi-graph attention, which comprehensively considers the contribution of symptoms and syndrome elements in syndrome classification by constructing a graph structure, integrates a symptom-symptom graph and a symptom-syndrome element graph into classification, uses a multi-graph attention network to aggregate the features of symptoms and syndrome elements, and finally realizes syndrome classification through a multi-layer perceptron. At the same time, extensive experiments are carried out on real data sets, the effectiveness of the multi-graph attention network is verified, more accurate classification is realized, and better classification results have been achieved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.