Title:
MEDICAL TERM STANDARDIZATION SYSTEM AND METHOD BASED ON HETEROGENEOUS GRAPH NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2023/065858
Kind Code:
A1
Abstract:
Provided are a medical term standardization system and method based on a heterogeneous graph neural network, the method comprising: establishing key information units for various types of medical terms so as to achieve structured representation of the medical terms, and, on the basis of the information units, establishing a knowledge map comprising the various types of medical terms; on the basis of the knowledge map, establishing a heterogeneous graph neural network comprising the various types of medical terms, and, while training the heterogeneous graph neural network, comprehensively considering adjacent node distribution and node content coding of the map so as to perform medical term standardization. The knowledge of the association and difference between information units of similar medical terms can be fully utilized, and various types of medical terms are comprised at the same time, thus knowledge in the medical field can be learned comprehensively, and new types of medical terms can be conveniently added into the system, thereby reducing the workload of the standardization of new types of medical terms.
Inventors:
LI JINGSONG (CN)
YANG ZONGFENG (CN)
XIN RAN (CN)
TIAN YU (CN)
ZHOU TIANSHU (CN)
YANG ZONGFENG (CN)
XIN RAN (CN)
TIAN YU (CN)
ZHOU TIANSHU (CN)
Application Number:
PCT/CN2022/116967
Publication Date:
April 27, 2023
Filing Date:
September 05, 2022
Export Citation:
Assignee:
ZHEJIANG LAB (CN)
International Classes:
G06F16/36
Foreign References:
| CN113656604A | 2021-11-16 | |||
| CN113377897A | 2021-09-10 | |||
| CN112271001A | 2021-01-26 | |||
| CN113010685A | 2021-06-22 | |||
| CN113191156A | 2021-07-30 | |||
| CN110349639A | 2019-10-18 | |||
| US20200118682A1 | 2020-04-16 |
Attorney, Agent or Firm:
HANGZHOU QIUSHI PATENT OFFICE CO., LTD. (CN)
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