Clinical Decision Support Model of Heart Disease Diagnosis Based on Bayesian Networks and Case-Based Reasoning

Man Xu and Jiang Shen ()
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Man Xu: Nankai University
Jiang Shen: Nankai University

Chapter Chapter 23 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 219-225 from Springer

Abstract: Abstract To boost the accuracy of clinical decision support systems and degrade their misdiagnosis rates, a hybrid model was proposed with Bayesian networks (BN) and case-based reasoning (CBR). BN were constructed with the feature attributes and their casual relationships were learned. The similarities of feature attributes were measured with the case matching method, as well as the knowledge of their dependent relationships. Therefore, the accuracy of the diagnosis system was enriched through the dynamic retrieval method.

Keywords: BN; CBR; Heart disease diagnosis (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_23

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DOI: 10.1007/978-3-642-38391-5_23

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