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An expert system for the differential diagnosis of erythemato-squamous diseases
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Date
2000-01-01
Author
Guvenir, HA
Emeksiz, N
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This paper presents an expert system for differential diagnosis of erythemato-squamous diseases incorporating decisions made by three classification algorithms: nearest neighbor classifier, naive Bayesian classifier and voting feature intervals-5. This tool enables doctors to differentiate six types of erythemato-squamous diseases using clinical and histopathological parameters obtained from a patient. The program also gives explanations for the classifications of each classifier. The patient records are also maintained in a database for further references.
Subject Keywords
Erythemato-squamous
,
Nearest neighbor classifier
,
Naive Bayesian classifier
,
Voting feature intervals-5
URI
https://hdl.handle.net/11511/64911
Journal
EXPERT SYSTEMS WITH APPLICATIONS
DOI
https://doi.org/10.1016/s0957-4174(99)00049-4
Collections
Department of Computer Engineering, Article
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H. Guvenir and N. Emeksiz, “An expert system for the differential diagnosis of erythemato-squamous diseases,”
EXPERT SYSTEMS WITH APPLICATIONS
, pp. 43–49, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64911.