Evidential inference with embedded pattern classifiers: towards a medical expert system for diagnosis

Status	已發表Published
	Evidential inference with embedded pattern classifiers: towards a medical expert system for diagnosis
	Liu Jiming; Yuen P.C.; Tang Yuan Y.; Wang Xiaoru; Ying Hai
	1996-12-01
Source Publication	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	2
Pages	1096-1101
Abstract	In this paper, we describe a novel quantitative approach to medical diagnosis. Drawing on sound mathematical theories as well as the promising results of previous experiments, the proposed approach provides a computational solution to the modeling and aggregating of partial evidential observations to assure an accurate diagnosis. This approach is particularly useful for diagnosing cases in which a complete set of symptoms is too difficult to observe and the diagnostic judgments are subject to human errors. This paper presents several experiments in which real-world diagnostic problems were investigated. In particular, it attempts to show that (1) with a limited number of case samples, our implication-induction algorithm is capable of inducing implication networks useful for making evidential inferences based on partial observations, (2) observation driven by a network entropy optimization mechanism is effective in reducing the uncertainty of predicted events, and (3) the network-based evidentially predicted events or attributes can provide sufficient information for pattern classification.
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via Scopus
Document Type	Conference paper
Collection	University of Macau
Affiliation	Hong Kong Baptist University
Recommended Citation GB/T 7714	Liu Jiming,Yuen P.C.,Tang Yuan Y.,et al. Evidential inference with embedded pattern classifiers: towards a medical expert system for diagnosis[C], 1996, 1096-1101.
APA	Liu Jiming., Yuen P.C.., Tang Yuan Y.., Wang Xiaoru., & Ying Hai (1996). Evidential inference with embedded pattern classifiers: towards a medical expert system for diagnosis. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2, 1096-1101.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh