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Found 1 from your keywords: author=Richardo H., M
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SELEKSI FITUR KLASIFIKASI PENYAKIT INFARK MIOKARD MENGGUNAKAN GENETIC ALGORIT…
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Richardo H., M

In this study, the feature selection method employed is the Genetic Algorithm (GA), while the classification method used is the Support Vector Machine (SVM), with the aim of improving the performance of myocardial infarction disease classification. The study utilizes the Myocardial Infarction Complications dataset, which consists of 123 features. The research process includes several preprocess…

Edition
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ISBN/ISSN
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Collation
xiv, 81 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T2012862026