Feature Selection based Least Square Twin Support Vector Machine for Diagnosis of Heart Disease
نویسندگان
چکیده
منابع مشابه
Feature Selection based Least Square Twin Support Vector Machine for Diagnosis of Heart Disease
It is evident from various researches that disease diagnosis using machine learning methods has been increasing rapidly. In this research work, feature selection based Least Square Twin Support Vector Machine (LSTSVM), which is a machine learning method, is used for diagnosis of heart diseases. In this approach F-score is used to calculate the weight of each feature and then features are select...
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ژورنال
عنوان ژورنال: International Journal of Bio-Science and Bio-Technology
سال: 2014
ISSN: 2233-7849,2233-7849
DOI: 10.14257/ijbsbt.2014.6.2.07