Open AccessApplying Naive Bayesian Networks to Disease Prediction: a Systematic Review
Author(s) -
Mostafa Langarizadeh,
Fateme Moghbeli
Publication year - 2016
Publication title -
acta informatica medica
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 20
eISSN - 1986-5988
pISSN - 0353-8109
DOI - 10.5455/aim.2016.24.364-369
Subject(s) - computer science , machine learning , bayesian network , artificial intelligence , bayesian probability , systematic review , receiver operating characteristic , disease , table (database) , algorithm , data mining , medline , medicine , political science , law
Naive Bayesian networks (NBNs) are one of the most effective and simplest Bayesian networks for prediction.