R.  Arangasamy, J.  Sundararajan, Ila  Vennila, G.  Shankar, 
    Automatic Diabetic Control System Based on Multi-Variant Fuzzy Rule Sets,
    Asian Journal of Information Technology,
    Volume 13,Issue 3,
    2014,
    Pages 131-137,
    ISSN 1682-3915,
    ajit.2014.131.137,
    (https://makhillpublications.co/view-article.php?doi=ajit.2014.131.137)
    Abstract: Unstable nature in blood sugar of diabetic patients influences 
  more innovative techniques to come for regular usage. Researcher proposes a 
  new approach to control the glucose level of diabetic patients using various 
  biological metrics of the patients. The proposed system is a fuzzy one which 
  uses various rule sets to control the glucose level. Researcher uses the following 
  biological metrics like body temperature, pressure, glucose, red blood cell 
  count, white blood cell count and plasma cells. All the biological features 
  are monitored periodically based on which the proposed system comes to a decision 
  of injecting insulin and rate of medicine. Researcher used various control circuits 
  and regulators and monitors to track the biological features dynamically. The 
  proposed systems have more impact on society for the better control of diabetics.
    Keywords: Thermal control;diabetics;multi-varient fuzzy systems;fuzzy rule sets;proposed system