ArticleJournal of biomedical semantics2017
An automatic approach for constructing a knowledge base of symptoms in Chinese.
Article in Journal of biomedical semantics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Representing Traditional East Asian Medicine in International Health Informatics Standards: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Linked Argumentation Graphs for Multidisciplinary Decision Support.Healthcare (Basel, Switzerland) · 2023Article
- Mapping Chinese Medical Entities to the Unified Medical Language System.Health data science · 2023Article
- Information Extraction from the Text Data on Traditional Chinese Medicine: A Review on Tasks, Challenges, and Methods from 2010 to 2021.Evidence-based complementary and alternative medicine : eCAM · 2022Review
- Head and Tail Entity Fusion Model in Medical Knowledge Graph Construction: Case Study for Pituitary Adenoma.JMIR medical informatics · 2021Article
- Lab indicators standardization method for the regional healthcare platform: a case study on heart failure.BMC medical informatics and decision making · 2020Article
- Building a Pharmacogenomics Knowledge Model Toward Precision Medicine: Case Study in Melanoma.JMIR medical informatics · 2020Article
- KGHC: a knowledge graph for hepatocellular carcinoma.BMC medical informatics and decision making · 2020Article
- Constructing fine-grained entity recognition corpora based on clinical records of traditional Chinese medicine.BMC medical informatics and decision making · 2020Article
- QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research.BMC medical informatics and decision making · 2019Article
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7 authors.
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Abstract
backgroundWhile a large number of well-known knowledge bases (KBs) in life science have been published as Linked Open Data, there are few KBs in Chinese. However, KBs in Chinese are necessary when we want to automatically process and analyze electronic medical records (EMRs) in Chinese. Of all, the symptom KB in Chinese is the most seriously in need, since symptoms are the starting point of clinical diagnosis.
resultsWe publish a public KB of symptoms in Chinese, including symptoms, departments, diseases, medicines, and examinations as well as relations between symptoms and the above related entities. To the best of our knowledge, there is no such KB focusing on symptoms in Chinese, and the KB is an important supplement to existing medical resources. Our KB is constructed by fusing data automatically extracted from eight mainstream healthcare websites, three Chinese encyclopedia sites, and symptoms extracted from a larger number of EMRs as supplements.
methodsFirstly, we design data schema manually by reference to the Unified Medical Language System (UMLS). Secondly, we extract entities from eight mainstream healthcare websites, which are fed as seeds to train a multi-class classifier and classify entities from encyclopedia sites and train a Conditional Random Field (CRF) model to extract symptoms from EMRs. Thirdly, we fuse data to solve the large-scale duplication between different data sources according to entity type alignment, entity mapping, and attribute mapping. Finally, we link our KB to UMLS to investigate similarities and differences between symptoms in Chinese and English.
conclusionsAs a result, the KB has more than 26,000 distinct symptoms in Chinese including 3968 symptoms in traditional Chinese medicine and 1029 synonym pairs for symptoms. The KB also includes concepts such as diseases and medicines as well as relations between symptoms and the above related entities. We also link our KB to the Unified Medical Language System and analyze the differences between symptoms in the two KBs. We released the KB as Linked Open Data and a demo at https://datahub.io/dataset/symptoms-in-chinese .
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