Naïve Bayes’ classifiers in R

Author:

Rezaei Nima,Jabbari Parnian

Publisher

Elsevier

Reference6 articles.

1. Points of significance: Bayes’ theorem;Puga;Nature Methods,2015

2. A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data;Wolfson;Statistics in Medicine,2015

3. Bayesian dependence tests for continuous, binary and mixed continuous-binary variables;Benavoli;Entropy,2016

4. Using Bayes theorem to estimate positive and negative predictive values for continuously and ordinally scaled diagnostic tests;Fischer;International Journal of Methods in Psychiatric Research,2021

5. Bayesian analysis: a practical approach to interpret clinical trials and create clinical practice guidelines;Bittl;Circulation: Cardiovascular Quality and Outcomes,2017

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