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Trimono
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Journal : Jurnal Ilmiah Kursor

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Hyperparameter optimization of XGBoost using artificial bee colony for predicting medical complications in hemodialysis patients Laksana Aryananda, Rangga; Trimono; Syaifullah J, Wahyu; Wan Awang, Wan Suryani
Jurnal Ilmiah Kursor Vol. 13 No. 1 (2025)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v13i1.459

Abstract

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, increasing mortality. This study predicts hemodialysis complications using XGBoost optimized with the Artificial Bee Colony (ABC) algorithm. The dataset includes numerical and categorical variables such as blood pressure, hemoglobin levels, gender, and complication history. To improve class distribution, the Synthetic Minority Over-sampling Technique is applied. Five test scenarios with different ABC parameter configurations were conducted to optimize XGBoost hyperparameters. Results indicate that balancing the dataset with SMOTE enhances model accuracy. Among the tested scenarios, Test 3, with ABC parameters n_bees set to 30, max_iter set to 30, and limit set to 10, achieved the highest accuracy, increasing from 89% (unbalanced) to 94% (balanced). Although training time increased, the improved performance highlights the potential of the XGBoost-ABC framework for early complication detection. This approach can enhance patient care, reduce mortality risks, and support clinical decision-making for hemodialysis patients.
Co-Authors Abda Abda Afidria, Zulfa Febi Ajeng Puspa Wardani Aji Riyantoko, Prismahardi Alzam , Muhammad Arsyad Amri Muhaimin Ananta, Aditya Putra Anggie, Erna Novita Anugrah, Muhammad Cahya Raka Ardiani, Ardia Eva Ardra Jamie Hibatullah Ardra Jamie Hibatullah, Genesis Arfiansyah, Muhammad Nabil Putra Arifta, Septia Dini Aryaputra Jagaddatri Auralia, Karina Aviolla Terza Damaliana Baktiar Putri, Milla Akbarany Bhalqis, Anissa Andiar Cokro, Risbuwono Heru Damaliana, Aviolla Terza Dewi, Ni Luh Ayu Nariswari Diana Novitasari, Diana Diyasa, I Gede Susrama Mas Dwi Arman Prasetya Elmaliyasari, Shifa Farhan Syah Putra Wiyono Fatmala, Friza Nur fernando, Mochamad Firman Fiqih Pavita Andharluana Gestyaki, Jacinda Ardina Hadin, Tiara Audrey Anugerah Hayu, Nahda Hibatulah, Ardra Hidayah, Amellia Harmaimun I Maruddani , Di Asih idhom, Mohammad Iffadah, Adhisa Shilfadianis Irawan, Tanaya Anindita Isyanto, Aisyah Kirana Putri Junior, Nouval Arya Kaffi, Laisal Kamila, Rosyidatul Karnaen, Amelia Zafira Kartika Maulida Hindrayani Khairunisa, Adenda Krisnawan Kristanaya, Mirechelin Kusharyadi, M. Nurhadyatullah Kusharyadi, Muhammad Nurhadyatullah Laksana Aryananda, Rangga Maulana, Mohammad Hikmal Maulidya Prastita Syah Melinda Putri Azzahra Mohammad Idhom Muhaimin, Amri Muhammad Nasrudin Najma P., Safira Namira, Alivia Salma Nurdiana, Pinka Ozzari, Nikita Aprilia Pakpahan, Vera Febrianti Pasha, Naufal Ricko Maulana Puti Cresti Ekacitta Putri, Safira Rahmalia rachmanto, Nugroho Fajar Ramadani, Nurmalita Ramadhanti, Amirah Rizky Rhomaningtias, Lina Rizkiyah, Selly Rizqin, Indira Zein Sakhi, Difta Alzena Selayanti, Nabilah Sinulingga, Kevin Brema Saputra Susrama Masdiyasa, I Gede Syaifullah J, Wahyu Syamsiar, Syamsiar Wan Awang, Wan Suryani Westerdam Sean Jatindra, Reagen Witanto, Steffany Marcellia Zufar Abdullah Rabbani