THE EFFECTIVENESS ANALYSIS OF RANDOM FOREST ALGORITHMS WITH SMOTE TECHNIQUE IN PREDICTING LUNG CANCER RISK

THE EFFECTIVENESS ANALYSIS OF RANDOM FOREST ALGORITHMS WITH SMOTE TECHNIQUE IN PREDICTING LUNG CANCER RISK

When compared with other types of cancer, most of the population with cancer die from lung cancer.A person needs to do a screening test through X-rays, CT scans, and MRI to detect the disease. However, before carrying out the process, the doctor will ordinarily investigate a medical history and phys...

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Bibliographic Details
Main Authors:	Ita Yulianti, Ami Rahmawati, Tati Mardiana
Format:	Article
Language:	English
Published:	Kresnamedia Publisher 2022-03-01
Series:	Jurnal Riset Informatika
Subjects:	lung cancer python random forest smote
Online Access:	https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/385

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