Comparative Analysis of Data Mining Classification Algorithms in Type-2 Diabetes Prediction Data Using WEKA Approach
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چکیده
منابع مشابه
Predicting Type2 Diabetes Using Data Mining Algorithms
Background and purpose: Today, information systems and databases are widely used and in order to achieve higher accuracy and speed in making diagnosis, preventing the diseases, and choosing treatments they should be merged with traditional methods. This study aimed at presenting an accurate system for diagnosis of diabetes using data mining and a heuristic method combining neural network and pa...
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
-We are live in a time there we used a huge amount and useful information and we want to save the time for this reason we use the data mining. Today we are using the electronic devices to store the information they have ability to save the very large amount of information so that to operate the information manually is very difficult and time consuming thus we use the data mining. Data mining de...
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assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولComparing Three Data Mining Algorithms for Identifying the Associated Risk Factors of Type 2 Diabetes
Background: Increasing the prevalence of type 2 diabetes has given rise to a global health burden and a concern among health service providers and health administrators. The current study aimed at developing and comparing some statistical models to identify the risk factors associated with type 2 diabetes. In this light, artificial neural network (ANN), support vector machines (SVMs), and multi...
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ژورنال
عنوان ژورنال: International Journal of Science and Engineering
سال: 2014
ISSN: 2302-5743,2086-5023
DOI: 10.12777/ijse.7.2.155-160