A clinical decision support system for primary headache disorder based on hybrid intelligent reasoning
作者： Ziming Yin , Lingtong Min , Xudong Lu , Huilong Duan
DOI: 10.1109/BMEI.2014.7002860
关键词: Similarity (psychology) 、 Artificial intelligence 、 Model-based reasoning 、 Machine learning 、 Knowledge management 、 Clinical decision support system 、 Thinking processes 、 Quality (business) 、 Guideline 、 Health care 、 Medicine 、 Cognition
摘要: Clinical decision support system (CDSS) is an effective tool for improving healthcare quality. Since the clinical symptoms of some primary headache disorders in individual patients often overlap and that ill-defined boundaries features may be vague, current rule-based CDSS cannot perform as well expected. In this paper, we develop a disorder diagnosis based on case-based reasoning order to simulate specialist's thinking process. First, new case evaluated by reasoning, rules come from guideline; second, if was unable get accurate answer, will find most similar library similarity matching. particular, define calculating method headaches case. The final results show proposed approach improves diagnostic accuracy dramatically compared systems.
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