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Prediction of Mortlity Rate in Indonesia due to Covid-19 Using the Naïve Bayes Algorithm
Author(s) -
Abdi Rahim Damanik,
Dedy Hartama,
Irfan Sudahri Damanik
Publication year - 2022
Publication title -
sistemasi
Language(s) - English
Resource type - Journals
eISSN - 2540-9719
pISSN - 2302-8149
DOI - 10.32520/stmsi.v11i1.1519
Subject(s) - naive bayes classifier , covid-19 , pandemic , bayes' theorem , computer science , algorithm , data set , set (abstract data type) , mortality rate , coronavirus , government (linguistics) , artificial intelligence , data mining , machine learning , bayesian probability , medicine , linguistics , philosophy , disease , pathology , support vector machine , infectious disease (medical specialty) , programming language

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