Intelligent and Online Evaluation of Diabetes using Wireless Sensor Networks and Support Vector Machines Algorithm

نویسندگان
Haddadnia, Javad ID 1
Rezaee, Khosro ID 2

1 Biomedical Engineering Group, Department of Electrical and Computer Engineering, Hakim Sabzevari University of Sabzevar, Sabzevar, Iran.

2 Biomedical Engineering Student, Biomedical Engineering Group, Department of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, Iran.

doi
چکیده

Objective: International Diabetes Organization estimates that there are 285 million people worldwide who suffer from diabetes, and this figure is expected to increase to 450 million in next 20 years. According to statistics issued by the World Health Organization, diabetes is considered among ten leading causes of death in world ...

کلیدواژه‌ها
Diabetes, Support vector machine, Online diabetic data (ODD), Wireless sensor network, Central Data processing system.