Using Naïve Bayes Algorithm to Predict and Classify Alcohol Addiction Severity: A Machine Learning Approach for Public Health Interventions

Alcohol addiction has increasingly emerged as a significant concern in global health, with current methods of prediction and classification revealing certain limitations. The principal objective of this study was to deepen the understanding of predicting and classifying alcohol addiction levels by...

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Bibliographic Details

Published in:	Diversitas Journal
Main Author:	Francis Balazon
Format:	Article
Language:	English
Published:	Universidade Estadual de Alagoas 2025-03-01
Subjects:	Machine Learning, Naïve Bayes Algorithm K-means Clustering Alcoholism, Alcohol Addiction
Online Access:	https://www.diversitasjournal.com.br/diversitas_journal/article/view/3131