Abstract
The ontology theory is widely used in various fields including medical research. In addition, the number of patients with hypertension in China has been increasing presently, and hypertension is the main risk factor for the occurrence and even death of cardiovascular and cerebrovascular diseases. This paper designs and implements an expert system for diagnosis and treatment of hypertension based on ontology theory. The system builds a diagnostic knowledge base referred to authoritative literature firstly, constructs hypertension ontology by Protégé, uses SWRL semantic web rule language to edit the inference rules, and then reasons out the patient’s hypertension levels and drug risk hierarchy and the corresponding drug using strategy by using Jess reasoning machine. The hypertension diagnosis and treatment expert system can accumulate cases and store them in knowledge library to realize knowledge reuse and improve diagnostic efficiency.
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Acknowledgment
This work is supported by the Key Laboratory of machine intelligence and advanced computing (No. MSC-201707A), Project of Science Innovation Platform of Beijing Education Commission (No. 025185305000/035) and Project of interdisciplinary research project of Beijing Education Commission (No. 112175311500).
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Jie, W., Yan, P., Xiaoxiao, R., Yixuan, Q. (2018). An Expert System for Diagnosis and Treatment of Hypertension Based on Ontology. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-13-2829-9_24
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DOI: https://doi.org/10.1007/978-981-13-2829-9_24
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