Hyperparameter optimization of XGBoost using artificial bee colony for predicting medical complications in hemodialysis patients

Hyperparameter optimization of XGBoost using artificial bee colony for predicting medical complications in hemodialysis patients

Chronic Kidney Disease (CKD) is a serious global health issue, ranking as the 12th leading cause of death in 2019, with a 31.7% increase since 2010. Many CKD patients require hemodialysis, which poses risks of complications such as hypertension, hypotension, and gastrointestinal disorders, increasi...

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Bibliographic Details
Main Authors: Rangga Laksana Aryananda, Trimono, Wahyu Syaifullah J, Wan Suryani Wan Awang
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2025-07-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
Artificial Bee Colony
Complications
Hemodialysis
Hyperparameter
XGBOOST
Online Access:http://www.kursorjournal.org/index.php/kursor/article/view/459
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