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

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摘要

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.

论文关键词:Erythemato-squamous,Nearest neighbor classifier,Naive Bayesian classifier,Voting feature intervals-5

论文评审过程:Available online 17 December 1999.

论文官网地址:https://doi.org/10.1016/S0957-4174(99)00049-4