Lung Diseases Classification Using the Naïve Bayes Algorithm

Lung Diseases Classification Using the Naïve Bayes Algorithm

Lung Diseases, Classification, Naïve Bayes, Machine Learning

Lung disease is one of the diseases witha high rate of spread and mortality, especially in developing countries. Early detection is very important to increase the chances of recovery. This study aims to classify the types of lung disease using Naive Bayes, a probability-based statistical classification method. We gathered the dataset thatincludes common symptoms of lung disease,such as chronic cough, shortness of breath, chest pain, and others. The results of the study showed that Naive Bayes can achievea fairly high classification accuracyof 87%. These results indicate that Naive Bayes can be an effective approachto support medical decisions

Ulumuddin1*, Rousyati2,Rizal Nurzuli

https://ijicom.respati.ac.id/index.php/ijicom/issue/view/14

International Journal of Informatics and Computation (IJICOM)

2025

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