An Android App for intelligent dosage planning in Type2 diabetes using anfisga

Author

Reagan, C. P. Ronald ; Devi, S. Prasanna

Author_Institution

Dept. of Comput. Sci., Apollo Eng. Coll., Chennai, India

fYear

2014

fDate

10-12 April 2014

Firstpage

1

Lastpage

4

Abstract

This paper presents an intelligent expert based system ANFISGA for the dosage planning for Type2 diabetes male patients. Even the Type2 diabetes accounts 90% of total diabetes patients the accurate dosage planning for the disease is complicated due to the variations of human body. In this paper two Artificial Intelligence techniques ANFIS and GA were combined. This human genetic algorithm accept the dosage predicted from ANFIS and do the optimization using genetic operators to produce the most accurate dosage prediction.

Keywords

Android (operating system); genetic algorithms; medical expert systems; patient diagnosis; patient monitoring; patient treatment; planning (artificial intelligence); ANFISGA; Android app; Type2 diabetes male patients; artificial intelligence techniques; diabetes patients; dosage prediction; genetic operators; human genetic algorithm; intelligent dosage planning; intelligent expert based system; Biological cells; Diabetes; Equations; Fuzzy logic; Genetic algorithms; Insulin; Mathematical model; Adaptive Neuro Fuzzy Inference System (ANFIS); Diabetes Mellitus; Genetic Algorithm (GA);

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Trends in Information Technology (ICRTIT), 2014 International Conference on

Conference_Location

Chennai

Type

conf

DOI

10.1109/ICRTIT.2014.6996137

Filename

6996137