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Coder All
CODER is a knowledge-fused cross-language medical terminology embedding model for medical terminology standardization.
Downloads 20
Release Time : 3/2/2022
Model Overview
CODER is a cross-language medical terminology representation model that combines knowledge graph embedding and contrastive learning techniques to improve the accuracy and efficiency of medical terminology standardization.
Model Features
Cross-language support
Supports embedding representation and standardization of multilingual medical terminologies.
Knowledge fusion
Incorporates knowledge graph embedding techniques to improve the accuracy of terminology representation.
Contrastive learning
Optimizes the model using contrastive learning to enhance the discriminative ability between terminologies.
Model Capabilities
Medical terminology embedding
Cross-language terminology standardization
Knowledge graph fusion
Use Cases
Medical information processing
Medical terminology standardization
Unifies medical terminologies from different sources into standard terminologies to improve data consistency.
Enhances the accuracy and efficiency of terminology standardization.
Cross-language terminology mapping
Maps medical terminologies in different languages to a unified standard terminology.
Supports the integration and analysis of multilingual medical data.
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