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Found 1 from your keywords: author=Pratama, Muhammad Rizki...
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OPTIMASI ALGORITMA K-NEAREST NEIGHBOR (KNN) DENGAN NORMALISASI DAN SELEKSI FI…
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Pratama, Muhammad Rizki Nanda

Myocardial infarction complications require early, accurate prediction for clinical intervention. This study optimizes the K-nearest neighbor (KNN) algorithm to classify these complications using Z-Score normalization and three feature selection methods: Information Gain, Gain Ratio, and Symmetrical Uncertainty.Using a dataset from the UCI Machine Learning Repository, preprocessing included mea…

Edition
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ISBN/ISSN
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Collation
xiii, 92 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T2012632026