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.
- 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 -