Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Experiment and Evaluation of Acute Rheumatic Fever Diagnosis Application

Authors
Sanjib Raj Pandey, Chio-Hong Lai, Xiaoming Yao, Jixin Ma
Corresponding Author
Sanjib Raj Pandey
Available Online August 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Science and Electronic Technology
Part of series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/cset-16.2016.69How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.69
DO  - https://doi.org/10.2991/cset-16.2016.69
ID  - RajPandey2016/08
ER  -