Analysis and Comparison of Models for Classification of Diabetic Disease
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Diagnosis of health condition is very challenging task in medical science. In healthcare, due to large amount of data to extract the useful information and knowledge is very essential. Machine learning techniques play major role and beneficial in health care industry. Classification technique is one of the important machine learning technique which is used as decision maker in real word problem. In this research work, we have used various classification techniques to classify the diabetic and non diabetic disease. We have used Tanagra and WEKA data mining software to analysis of diabetic patient using Indian Liver Patient Diabetic (ILPD) data set. We have compared the performance of models in terms of accuracy, true positive rate (TPR) and true negative rate (TNR) using both data mining software with 10-fold cross validation. Multilayer Perceptron (MLP) achieved better accuracy as 76.18% in case of Tanagra data mining tool while SVM achieved better accuracy as 77.34% in case of WEKA data mining tool. Finally, we conclude that accuracy of models is varying from one tool to another tool.
Authors and Affiliations
Ashutosh Dwivedi, Amit Kumar Dewangan, A. K. Shrivas
Keywords
Related Articles
- EP ID EP24364
- DOI -
- Views 305
- Downloads 9
Categorization of Liver Disease Using Classification Techniques
Health is an important issue in human life and facing various diseases by most of the people. Liver Diseases is very serious liver facing by most of the human being. Machine learning techniques are very effective tool t...
Review of Plastic Waste Management by Pyrolysis Process with Indian perspective
The plastics have found its important role in the day-to-day life of human being and industries. The increasing demands and inefficient disposal methods have resulted in the accumulation of these wastes in the landfills...
A Review: Modelling and simulation of spark ignition engines
This paper assimilates the performance and the trends in spark ignition engines and to increase their efficiency in terms of Fuel-Air ratio (FAR) using adaptive control method, maintaining the FAR (Fuel-Air Ratio) by Th...
A Survey Paper on Association Rule Mining using Fuzzy Logic
To study the Fuzzy Logic and Data mining Association rules from different journals. Our aim is to reduce large data sets to smaller data set by using or applying fuzzy logic association rules and also to forecast from l...
Study of Aquatic Weeds in Marpha Pond of Anuppur, Madhya Pradesh
A study was conducted for the aquatic weeds and its ecological attributes of district Anuppur of Madhya Pradesh. In the district, there are many natural and manmade seasonal wetlands that serve as important gateways for...