Research Article Open Access

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

SunithaKarnam Anantha1, Senthil Kumar Natarajan2 and Subransu Sekar Dash1
  • 1 SRM University, India
  • 2 , India
American Journal of Applied Sciences
Volume 10 No. 9, 2013, 1124-1133

DOI: https://doi.org/10.3844/ajassp.2013.1124.1133

Submitted On: 26 July 2013
Published On: 24 August 2013

How to Cite: Anantha, S., Natarajan, S. K. & Dash, S. S. (2013). Design and Study of Online Fuzzy Risk Score Analyzer for Diabetes Mellitus. American Journal of Applied Sciences, 10(9), 1124-1133. https://doi.org/10.3844/ajassp.2013.1124.1133

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.

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Keywords

  • Chennai Urban Rural Epidemiology Study-CURES
  • Fuzzy System Analyzer
  • IDRS
  • Indian Diabetes Risk Score-IDRS.
  • Lab VIEW
  • Type 2 Diabetics
  • Risk Score