American Journal of Applied Sciences

Design and Study of Online Fuzzy Risk Score Analyzer for Diabetes Mellitus

SunithaKarnam Anantha, Senthil Kumar Natarajan and Subransu Sekar Dash

DOI : 10.3844/ajassp.2013.1124.1133

American Journal of Applied Sciences

Volume 10, Issue 9

Pages 1124-1133

Abstract

The aim of this study is to determine the risks of various subjects to type 2 Diabetes and its dependence on the different subject records. A Fuzzy based system was designed to find the risk scores for diabetes based on risk score derived from Chennai Urban Rural Epidemiology Study (CURES). The risk score that has been adapted into the system is referred to as Indian Diabetes Risk Score (IDRS). The variables employed in it are age, gender, waist, exercise and history of diabetes. A database of subject records was collected from hundred random individuals from southern regions of India. A comparative study was performed on these records between the normal and fuzzified risk score based on IDRS. The program has been designed using Lab VIEW with Fuzzy System Designer being used for fuzzy rule execution. The details are transmitted online through web page to the physicians who can provide assistance in prevention of diabetes. The obtained risk scores of the subjects are used to improve the lifestyle and delay the onset of diabetes to the maximum possible. This system can be implemented in rural regions where experienced medical assistance may not be available. This system would form an ideal part of the current developments in medicine where physical physician presence is not required due to the buttress provided by advancements in computer technology. The aim of this study is to determine the risks of various subjects to type 2 Diabetes and its dependence on the different subject records. A Fuzzy based system was designed to find the risk scores for diabetes based on risk score derived from Chennai Urban Rural Epidemiology Study (CURES). The risk score that has been adapted into the system is referred to as Indian Diabetes Risk Score (IDRS). The variables employed in it are age, gender, waist, exercise and history of diabetes. A database of subject records was collected from hundred random individuals from southern regions of India. A comparative study was performed on these records between the normal and fuzzified risk score based on IDRS. The program has been designed using Lab VIEW with Fuzzy System Designer being used for fuzzy rule execution. The details are transmitted online through web page to the physicians who can provide assistance in prevention of diabetes. The obtained risk scores of the subjects are used to improve the lifestyle and delay the onset of diabetes to the maximum possible. This system can be implemented in rural regions where experienced medical assistance may not be available. This system would form an ideal part of the current developments in medicine where physical physician presence is not required due to the buttress provided by advancements in computer technology.

Copyright

© 2013 SunithaKarnam Anantha, Senthil Kumar Natarajan and Subransu Sekar Dash. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.