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DIABETES MELLITUS ATTRIBUTE CLASSIFICATION USING THE NAIVE BAYES ALGORITHM BASED ON FORWARD SELECTION
Author(s) -
Dwi Puji Prabowo,
Rama Aria Megantara,
Ricardus Anggi Pramunendar,
Yuslena Sari
Publication year - 2022
Publication title -
jtiulm (jurnal teknologi informasi universitas lambung mangkurat)
Language(s) - English
Resource type - Journals
eISSN - 2528-2514
pISSN - 2527-5399
DOI - 10.20527/jtiulm.v7i2.146
Subject(s) - naive bayes classifier , feature selection , machine learning , disease , health informatics , bayes' theorem , computer science , informatics , artificial intelligence , selection (genetic algorithm) , diabetes mellitus , field (mathematics) , feature (linguistics) , medicine , data mining , bayesian probability , mathematics , public health , support vector machine , engineering , linguistics , philosophy , nursing , endocrinology , pure mathematics , electrical engineering

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