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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Jurnal Ilmu Pendidikan Jurnal Pembangunan Pendidikan: Fondasi dan Aplikasi Cakrawala Pendidikan Jurnal Penelitian dan Evaluasi Pendidikan INFORMASI Litera Jurnal Kreatif Tadulako Online El-HARAKAH : Jurnal Budaya Islam Journal of Education and Learning (EduLearn) Paramita: Historical Studies Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Sejarah dan Budaya Journal of Education Technology International Journal of Active Learning Prosiding Seminar Nasional Teknik Mesin PANYONARA: Journal of English Education Jurnal Perseda : Jurnal Pendidikan Guru Sekolah Dasar IJPD (International Journal Of Public Devotion) Jurnal Hukum Kaidah: Media Komunikasi dan Informasi Hukum dan Masyarakat Didactica : Jurnal Kajian Pendidikan dan Pembelajaran Fahmina Jurnal Pendidikan Islam Jurnal Epistemic : Jurnal Ilmiah Pendidikan LOGOS
Aman Aman
Universitas Negeri Yogyakarta
Religion Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

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Optimized stacking ensemble for early-stage diabetes mellitus prediction Aman, Aman; Chhillar, Rajender Singh
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp7048-7055

Abstract

This paper presents an optimized stacking-based hybrid machine learning approach for predicting early-stage diabetes mellitus (DM) using the PIMA Indian diabetes (PID) dataset and early-stage diabetes risk prediction (ESDRP) dataset. The methodology involves handling missing values through mean imputation, balancing the dataset using the synthetic minority over-sampling technique (SMOTE), normalizing features, and employing a stratified train-test split. Logistic regression (LR), naïve Bayes (NB), AdaBoost with support vector machines (AdaBoost+SVM), artificial neural network (ANN), and k-nearest neighbors (k-NN) are used as base learners (level 0), while random forest (RF) meta-classifier serves as the level 1 model to combine their predictions. The proposed model achieves impressive accuracy rates of 99.7222% for the ESDRP dataset and 94.2085% for the PID dataset, surpassing existing literature by absolute differences ranging from 10.2085% to 16.7222%. The stacking-based hybrid model offers advantages for early-stage DM prediction by leveraging multiple base learners and a meta-classifier. SMOTE addresses class imbalance, while feature normalization ensures fair treatment of features during training. The findings suggest that the proposed approach holds promise for early-stage DM prediction, enabling timely interventions and preventive measures.
Co-Authors Adharianti, Nia Adrianto Ahmad Ahmed, Touheed Akalili, Awanis Al-Husna, Khofifah Indah Ali Karim Amir Awaluddin Amrih Setyo Raharjo Apriyanthy.LK, Elsa Carlina Arif Hamidi L Chhillar, Rajender Singh Dedi Junaedi, Dedi Desi Heltina Dimas Aldi Pangestu Drastinawati Drastinawati, Drastinawati Dyah Kumalasari Ebtana Sella Mayang Fitri Endi, Yohanes Fadli Fadli Fahri, Ardian Fahruddin Fahruddin Fauzan, Ananda Fikri, Asyrul Firdaus, Fery Muhamad Handayani, Winarni Indri Kurniawati Irvan Tasnur Isjoni Isjoni Jana, Padrul Khoiriyah, Febriana Lantip Diat Prasojo Lapele, Fitria Luluk Elyana Miftahuddin Miftahuddin Miftahul Arozaq, Miftahul Moch. Sholeh, Moch. Monita Olivia Muhammad Nazar Ningsih, Tri Zahra Nur Hidayanto Pancoro Setyo Putro Nurul Huda Ofianto, Ofianto Prabowo, Mohammad Rikaz Rahmat Fadhli Ramadan, Pariz Ramadan, Syahri Risky Setiawan Romadhoni, Asyif Awaludin Saefur Rochmat Samsul Hadi Saputra, Nanda Setiawan, Johan Siregar, Mulatua Solly Aryza Suarman Subroto Subroto Sumarno . Sunarhadi, M. Amin Supardi Supardi SURYA AYMANDA NABABAN Usman Usman Widia Murni Wijaya Widya Noviana Noor Yulianti, Nuri Yuliantri, Rhoma Dwi Aria Yunidar Zul Asri