Chinese symptom knowledge graph
WebTraditional Chinese medicine (TCM) has played an indispensable role in clinical diagnosis and treatment. Based on a patient’s symptom phenotypes, computation-based … WebExperiments results on the publicly authoritative Chinese symptom knowledge graph (CSKG) demonstrated that the proposed method is significantly better than the state-of …
Chinese symptom knowledge graph
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WebNov 3, 2024 · Abstract. Syndrome differentiation is the core diagnosis method of Traditional Chinese Medicine (TCM). We propose a method that simulates syndrome differentiation … WebJul 17, 2024 · 3.1. Knowledge Graph. In the knowledge graph, entities are used to represent nodes in the graph, and relations are used to represent edges. In the fields related to Chinese medicine, CPM, diseases, and symptoms can be used as entities, and the relationships between them can connect the corresponding entities to form a …
WebFeb 14, 2024 · The structured data was stored in the Neo4j graph structure database, and a knowledge graph of Chinese medical diagnosis and treatment of hepatitis B was … WebJun 2, 2024 · With the growing popularity of traditional Chinese medicine (TCM) in the world and the increasing awareness of intellectual property protection, the number of TCM patent application is growing year by year. TCM patents contain rich medical, legal, and economic information. Effective text mining of TCM patents is of great theoretical and …
WebJun 8, 2024 · Therefore, Chinese knowledge graph data contain 20 common cardiovascular diseases, and each disease information includes: disease name, disease … WebNov 29, 2024 · OpenKG is an open-source knowledge graph community project advocated by the Chinese Information Processing Society of China, it provides a large number of …
WebMar 1, 2024 · This paper introduces the study on the recommendation system based on the Knowledge Graph (KG). Firstly, it conducts extraction of entities such as Traditional Chinese Medicine (TCM) diseases, prescription, Chinese herbal medicine, symptoms, etc. Secondly, it transforms KG into vector space using Node2vec. At last, based on the …
WebThe effective ways to manage and apply these data are to construct a professional medical knowledge graph. In this paper, the Chinese Obstetric Knowledge Graph (COKG) based on multiple data sources of the obstetric professional thesauruses, clinical pathways, diagnosis, and treatment norms is constructed by the semi-automated method. siamese souls lyricsWebOct 29, 2024 · According to the symptoms of patients and the symptoms in the knowledge graph, the causal reasoning of the disease diagnosis is interpretable. Experiments on 145,712 pediatric electronic medical ... siamese sound crosswordWebMar 14, 2024 · Thank you for submitting your article "A herbal drug combination identified by knowledge graph alleviates the clinical symptoms of plasma cell mastitis patients: a non-randomized controlled trial" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the ... the pelvic physio queenstownWebMar 1, 2024 · As shown in Fig. 1, knowledge graph is a graph-based knowledge representation and organization method.It uses a set of “subject-predicate-object” triples to represent the various entities and their relationships in a domain. Knowledge graph can also be seen as a huge network, in which nodes represent domain entities and arcs … siamese speak sandown nhWebFeb 14, 2024 · The structured data was stored in the Neo4j graph structure database, and a knowledge graph of Chinese medical diagnosis and treatment of hepatitis B was … the pemberley chroniclesWebNov 27, 2024 · The original data we collected is in Chinese. We also collect 149,998 records of medical question-answer pairs of users from YiFeng, ... In our experiments, the features are extracted for question answering includes the entities in the knowledge graph, such as symptom entities. We represent the feature by using one-hot vector. the pema chodron audio collectionWebUsing a Knowledge Graph for Hypernymy Detection between Chinese Symptoms Qi Wang( ), Ting Wang, and Chenming Xu East China University of Science and … the pemberly podcast