Decision Support System for Classification of Early Childhood Diseases Using Principal Component Analysis and K-Nearest Neighbors Classifier

Decision Support System for Classification of Early Childhood Diseases Using Principal Component Analysis and K-Nearest Neighbors Classifier

Background: Data on early childhood disease collected in clinics has accumulated into big data. Those data can be used for classification of early childhood diseases to help medical staff in diagnosing diseases that attack early childhoods. Objective: This study aims to apply Principal Component An...

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Bibliographic Details
Main Authors: Damar Dananjaya, Indah Werdiningsih, Rini Semiati
Format: Article
Language:English
Published: Universitas Airlangga 2019-04-01
Series:Journal of Information Systems Engineering and Business Intelligence
Subjects:
toddler diseases
principal component analysis (pca)
k-nearest neighbor classifier
Online Access:https://e-journal.unair.ac.id/JISEBI/article/view/9635

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