| Authors: | Stasis A., Loukis E., Pavlopoulos S., Koutsouris D. |
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| Title: | A multiple decision trees architecture for medical diagnosis: The differentiation of opening snap, second heart sound split and third heart sound |
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| Journal: | Computational Management Science (ABI/INFORM-PROQUEST, SCOPUS) |
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| Volume: | |
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| Number: | |
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| Pages: | 245-274 |
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| Year: | 2004 |
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| Publisher: | Springer Verlag |
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| To appear: | No |
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| Link: | |
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| ISI: | No |
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| Impact Factor: | |
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| File name: | Γ14_Multiple_Decision_Tree_Med_Diagnosis_2004.pdf##^^&&694531200.pdf |
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| Abstract: | In this paper a Decision Support System Architecture is proposed for
the heart sound diagnosis problem, and in general for complex medical diagnosis
problems. It is based on the division of a complex diagnostic problem into simpler
sub-problems; each of them is handled by a specialized decision tree. This
Multiple Decision Trees Architecture in general consists of a network of detection
decision trees and arbitration decision trees, and can also incorporate other
classification methods as well (e.g. patterns recognition, neural networks, etc.).
The initial motivation for developing this Multiple Decision Trees Architecture has
been the problem of Differentiation among Opening Snap (OS), 2nd Heart Sound
Split (A2_P2), and 3rd Heart Sound (S3), which is a crucial and at the same time
difficult and complicated part of the heart sound diagnosis problem. The Multiple
Decision Tree Architecture developed for the above diagnosis/differentiation
problem has been tested with real heart sound signals, and its performance and
generalisation capabilities were found to be higher than the previous ‘traditional’
architectures. |
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