IEEE

Applying Random Forests for Accurate Classification of Lung Cancer Stages from CT Scans

Abstract: Early and precise diagnosis is vital for improving patient outcomes in the fight against lung cancer, which is still the top cancer killer globally. This study introduces a method for ...
IEEE

Comparison of Support Vector Machine (SVM) and Random Forest Classifier Algorithms in the Classification of Acute Respiratory Infection (ARI) Disease

Abstract: The increasing number of Acute Respiratory Infection (ARI) cases in Jabodetabek, averaging 200 thousand per month, is linked to rising air pollution levels in Jakarta. This study compares ...