Experiment and Evaluation of Acute Rheumatic Fever Diagnosis Application

被引：0

作者：

Pandey, Sanjib Raj ^{[1
]}

Lai, Chio-Hong ^{[1
]}

Yao, Xiaoming ^{[2
]}

Ma, Jixin ^{[1
]}

机构：

[1] Univ Greenwich, Fac Architecture Comp & Humanities, London, England

[2] Hainan Univ, Coll Informat Sci & Technol, Haikou, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ELECTRONIC TECHNOLOGY | 2016年 / 48卷

关键词：

Acute Rheumatic Fever; Hybrid Approach; Decision Support System;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper describes an Acute Rheumatic Fever (ARF) Diagnosis Application that is designed and developed based on the proposed Hybrid Approach. It is an integrated framework in terms of a combination of Knowledge-based System, Temporal Theory and Fuzzy Logic. The developed ARF Diagnosis Application was experimentally tested and evaluated by the experts and users of Nepal Heart Foundation (NHF) NHF by means of using NHF's data sets consisting of 676 real patients' records. The ARF Diagnosis Application was found to match 99 percentage of the cases derived from NHF's datasets. The overall ARF diagnostics performance and accuracy was 99.36 percentage.

引用

页码：295 / 298

页数：4

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