Decision Tree for Determining Hospital Treatment for Covid-19 Patients Based on Hematology Parameters Using the C5.0 Algorithm

Decision Tree for Determining Hospital Treatment for Covid-19 Patients Based on Hematology Parameters Using the C5.0 Algorithm

The rapid spread of the COVID-19 disease which occurred globally throughout the world some time ago, requires early detection of COVID-19 which is very important for patients and also the people around them to be able to fight the COVID-19 pandemic. Therefore, a classification analysis will be carri...

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Bibliographic Details
Main Authors: Joko Riyono, Christina Eni Pujiastuti, Supriyadi Supriyadi, Dody Prayitno, Aina Latifa Riyana Putri
Format: Article
Language:English
Published: Program Studi Teknik Informatika Universitas Trilogi 2024-12-01
Series:JISA (Jurnal Informatika dan Sains)
Subjects:
early detection
classification
missing data
confusion matrix
Online Access:https://trilogi.ac.id/journal/ks/index.php/JISA/article/view/2106
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