DIABETES MELLITUS ATTRIBUTE CLASSIFICATION USING THE NAIVE BAYES ALGORITHM BASED ON FORWARD SELECTION | Zendy

Dwi Puji Prabowo | Zendy; Rama Aria Megantara | Zendy; Ricardus Anggi Pramunendar | Zendy; Yuslena Sari | Zendy

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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 -

jurnal teknologi informasi universitas lambung mangkurat (jtiulm)

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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