An expert system for the differential diagnosis of erythemato-squamous diseases

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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

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Department of Computer Engineering, Article

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Citation Formats

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.