Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor

Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor

This study aims to find out how much the application of the K-NN method and the accuracy value obtained by the K-NN method in clarifying data of Tuberculosis patients. This research focuses on improving public health and developing science to help people prevent and overcome tuberculosis. This type...

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Bibliographic Details
Main Authors: Delima Sitanggang, lamria Simangunsong, Geertruida Frederika Sundah, Rani Hutahaean, Indren Indren
Format: Article
Language:English
Published: LPPM ISB Atma Luhur 2024-11-01
Series:Jurnal Sisfokom
Subjects:
tuberculosis
k-nearest neighbors
classification
Online Access:https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2218
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https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2218

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