Experiment and Evaluation of Acute Rheumatic Fever Diagnosis Application

DOI

10.2991/cset-16.2016.69How to use a DOI?

Keywords

Acute rheumatic fever, hybrid approach, decision support system

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sanjib Raj Pandey
AU  - Chio-Hong Lai
AU  - Xiaoming Yao
AU  - Jixin Ma
PY  - 2016/08
DA  - 2016/08
TI  - Experiment and Evaluation of Acute Rheumatic Fever Diagnosis Application
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 295
EP  - 298
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.69
DO  - 10.2991/cset-16.2016.69
ID  - RajPandey2016/08
ER  -