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Erizal Erizal
Pusat Aplikasi Teknologi Isotop dan Radiasi, BATAN Jl. Lebak Bulus Raya No.49, Jakarta 12070
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Journal : Letters in Information Technology Education (LITE)

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Enhancing Medical Education with Machine Learning: A Case Study on CKD Detection Using AdaBoost-SVM Erizal, Erizal; Suwarto, Suwarto; Basuki, Umar; Hiswati, Marselina Endah; Diqi, Mohammad; Kristian, Tadem Vergi
Letters in Information Technology Education (LITE) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v7i22024p56-62

Abstract

This study explores the application of the AdaBoost-SVM model for the classification of chronic kidney disease (CKD), addressing the critical need for accurate and early diagnosis in clinical settings. Using a dataset of 400 instances with 25 clinical features, we implemented rigorous data cleaning to remove rows with missing values, ensuring high-quality input data. The AdaBoost-SVM model achieved remarkable performance, with an overall accuracy of 96%. Precision and recall were notably high for both 'ckd' and 'notckd' classes, reflecting the model’s robustness and reliability. These results underscore the potential of hybrid machine learning approaches in medical diagnostics, providing valuable insights into improving CKD detection. Although the study has several limitations, such as a limited dataset and the exclusion of incomplete data, its findings clearly show the model's usefulness and provide a foundation for future research. Future work should focus on larger, more diverse datasets and alternative data handling techniques to enhance the model's applicability and performance. This research highlights the promise of integrating advanced algorithms into clinical decision-making processes, ultimately aiming to improve patient outcomes through early and accurate disease detection.
Co-Authors A.A. Ketut Agung Cahyawan W Ade Davy Wiranata Al Ayyubi, Reza Al Azkiah, Dina Sakinah Alfaridzi, Eko Alminson, Pego Ananda, Fauzan Raflinur Andini, Andini Angga Prayoga Arrafi, Naufal Rifqi Arsad, Reza Al Aulia Shilvi Auzal Halim Azizah, Khusnita Basril A. Basril Abbas Basuki, Umar Ben, Elfi Sahlan Bimantoro, Prabu Budiarto, Djoko Burhan Djamaluddin Burhanuddin Burhanuddin Danita, Regita Alma Deswita Deswita Diqi, Muhammad Dwi, Gebi Sintia Emil Budianto Fauzan Azima Firdaus, Dwiandra Firman Noor Hasan Gunawan, Margaretha Michella Halim Zaini, Halim Hamimuddin, Moch Hendri, Yon Hikmah, Fitri Nur I Nyoman Winata IBNUL QAYIM Ibrahim Ibrahim Irwan Irwan Izzati, Dwina Rizka Julianto, Baskoro Tri Kamaruddin Kamaruddin Khairuddin - Khairun Nisa Khoirunnisa, Hana Kristian, Tadem Vergi Lamuse, Maulina Listiawan, Indra Maklas, Fikali Marselina Endah Hiswati Mentari, Sekar Metriadi Mohammad Diqi Mudatsir Mudatsir Muhammad Fairuzabadi Muhammad fauzan Muhammad Hanafiah Muhammad Irfan Muhammad Sulhan Mulawarman Mulawarman Nadhya Susilo Nugroho Nasyubun, M. Nursyava, Firel Denitha Oktafiani, Pradyta Galuh Purwo Mahardi Putra, Heriansyah Rahmawan, Rama Zaky Ramadhanis, Zainab Dwi Rezza Anugrah Mutiarawan Rifqi Amrullah, Muhammad Robidi Robidi Robidi, Robidi Rozak, Bahrul Satriyadi, Satriyadi Satyanto Krido Saptomo Selvi Kasman Seminar, Kudong Boro Sitorus, Mido Ester Sujarweni, V Wiratna Sujarweni, Veronika Wiratna Sultono, Sultono Sutoyo Sutoyo Suwarto Suwarto Teuku Zahrial Helmi Thamrin W., Thamrin Thantawi, Firdaus Tonadi, Een Tri Sudibyo Umam, Faqih Nadiya Utami, Anisa Dwi Virgiawan, Iwan Wahyudi, Ninda Zahra Wildan, Marie Muhammad Wilma Sriwulan Yulianto, Adhithya Yudo Yunus Yakub Zaidir