Filter Results
4 results
- Data for: Identifying the essential nodes in network pharmacology based on multilayer network combined with random walk algorithmData related to herb XiaoChaiHu Decoction, including chemical compounds, proteins, metabolic pathways, diseases.
- Data for: Research on Chinese Medical Named Entity Recognition Based on Collaborative Coopera-tion of Multiple Neural Network Modelscodes and data for this research paper.
- Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologieswe extended the definition information of the CUI terms using the Wikipedia database to improve the coverage of the similarity model. Second, we adopted document embedding for vector representations of the CUI terms. We used UMLS2015AB for the data.
- DrugSemantics Gold StandardDrugSemantics gold standard consists of 5 Summaries of Product Characteristics (SPC) written in Spanish. SPCs were retrieved from Medicines Online Information Center - CIMA - that belongs to the Spanish Agency for Medicines and Health Products - AEMPS. This corpus is annotated with 10 Named Entities (NE) related to pharmacotherapeutic care, namely: Chemical Composition, Disease, Drug, Excipient, Food, Medicament, Pharmaceutical Form, Route, Therapeutic Action and Unit of Measurement. It contains 2241 ENs, 780 sentences and 226,729 tokens. The zip file is organized as follows: Each SPC is in a separte folder containing one xml file that contains the annotated documents in Gate Standoff format. DrugSemantics was designed to be used for developing and testesting of Spanish NE recogniton tools in the pharmacotherapeutic domain.