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

被引：48

作者：

Güvenir, HA ^{[1
]}

Emeksiz, N

机构：

[1] Bilkent Univ, Dept Comp Engn, TR-06533 Ankara, Turkey

[2] Middle E Tech Univ, Dept Comp Engn, TR-06531 Ankara, Turkey

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2000年 / 18卷 / 01期

关键词：

erythemato-squamous; nearest neighbor classifier; naive Bayesian classifier; voting feature intervals-5;

D O I：

10.1016/S0957-4174(99)00049-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

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. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：43 / 49

页数：7

共 9 条

[1]

INSTANCE-BASED LEARNING ALGORITHMS [J].