Abstract
Recognizing diseases from theoretical perspective can help ordinary people have a general understanding of medicine. The usual process of identifying syndromes or diseases in Traditional Chinese Medicine (TCM) is by confirming the frequently symptom patterns. Semantic Web and ontologies introduce well-structured controlled vocabularies for biomedical science. The direct correspondence between symptoms and syndromes can be formatted to semantic inference rules as a additional knowledge upon a medical ontology.
In this paper, we present a simplified rule-based diagnostic system for febrile disease theory in TCM, which make use of the capability of semantic inference based on medical ontology. Actually the method is rather general for logic-based medical diagnosis, and we show that without interpreting clinical data, the medical knowledge itself can be applied to do basic clinical diagnosis.
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Gu, P., Chen, H. (2012). Knowledge-Driven Diagnostic System for Traditional Chinese Medicine. In: Pan, J.Z., et al. The Semantic Web. JIST 2011. Lecture Notes in Computer Science, vol 7185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29923-0_17
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DOI: https://doi.org/10.1007/978-3-642-29923-0_17
Publisher Name: Springer, Berlin, Heidelberg
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