doi: 10.7763/IJIET.2012.V2.126
Report Generation on ECGs Survey Data Analysis Using Threshold Based Inference Engine
Abstract
Heart diseases and strokes are considered as number one killer as they account for around 35 to 40 per cent of the total disease burden in Pakistan. The ratio of heart patients is increasing day by day, which is an alarming condition for the country. This situation needs a detailed analysis which can show the geographical distribution of heart patients and also the city wise attributes (age, weight, income etc) that are aggregating more in the heart disease. A Threshold Based Inference Engine is designed which infers the knowledge base by generating the association rules on each city. These rules infer the clustered data to extract the city wise more risk increasing attributes, and the common disease in that city. Automated Minnesota code is used for the verification of the collected ECGs. The results show that Threshold based Inference Engine successfully and efficiently generates a detailed report of each city including more diseased people and highlights the attributes increasing the risk factor.
Keywords
- Arrhythmias
- centroid
- ECG
- fuzzification
- inference engine
- membership etc
How to Cite
Saria Safdar, Shoab Ahmad Khan, and Fahim Arif, "Report Generation on ECGs Survey Data Analysis Using Threshold Based Inference Engine," International Journal of Information and Education Technology, vol. 2, no. 3, pp. 265-269, 2012. https://doi.org/10.7763/IJIET.2012.V2.126
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).