Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression

Kosasih ; Eva ; Asmara Santhi ; Ni Kadek Wulanda ; Febriyanti ; Ni Wayan Atik ; Br Barus ; Eka Valencia ; Susilawati ; Made
International Journal of Applied Mathematics and C... 📅 2025 Vol 2, No 3 🔗 DOI: 10.62951/ijamc.v2i3.222
Abstract
Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level, urine albumin level, and serum creatinine. Initial analysis involved descriptive statistics and multicollinearity checks, followed by model estimation and evaluation using likelihood ratio and Wald tests. The final model identified four significant predictors: blood pressure, hemoglobin, urine albumin, and serum creatinine. The model achieved a high classification accuracy of 95.50% and an Area Under the ROC Curve (AUC) of 98.78%, indicating excellent predictive performance. These results highlight the importance of these clinical indicators in early CKD detection and support their use in risk assessment models for kidney disease screening
Keywords: Chronic Kidney Disease, Binary Logistic Regression, Likelihood Ratio Test, Wald Test, Classification Accuracy
Keywords
Chronic Kidney Disease; Binary Logistic Regression; Likelihood Ratio Test; Wald Test; Classification Accuracy
How to Cite

Kosasih, et al. (2025). Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression. International Journal of Applied Mathematics and Computing, 2(3). https://doi.org/10.62951/ijamc.v2i3.222

Kosasih, Eva; Asmara Santhi, Ni Kadek Wulanda; Febriyanti, Ni Wayan Atik; Br Barus, Eka Valencia; Susilawati, Made, "Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression," International Journal of Applied Mathematics and Computing, vol. 2, no. 3, 2025.

Kosasih, Eva; Asmara Santhi, Ni Kadek Wulanda; Febriyanti, Ni Wayan Atik; Br Barus, Eka Valencia; Susilawati, Made. "Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression." International Journal of Applied Mathematics and Computing, vol. 2, no. 3, 2025.

Kosasih, Eva; Asmara Santhi, Ni Kadek Wulanda; Febriyanti, Ni Wayan Atik; Br Barus, Eka Valencia; Susilawati, Made. "Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression." International Journal of Applied Mathematics and Computing 2, no. 3 (2025).

Kosasih, et al. (2025) 'Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression', International Journal of Applied Mathematics and Computing, 2(3). doi: 10.62951/ijamc.v2i3.222.

Kosasih, Eva; Asmara Santhi, Ni Kadek Wulanda; Febriyanti, Ni Wayan Atik; Br Barus, Eka Valencia; Susilawati, Made. Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression. International Journal of Applied Mathematics and Computing. 2025;2(3).

Artikel Terkait

PERANCANGAN FINANCIAL SAVING CHALLENGE DALAM MENINGKATKAN DAYA TARIK MENABUNG DENGAN MENGGUNAKAN METODE REINFORCEMENT LEARNING

Veri Arinal; Nandang Sutisna; Nova Dahliyanti; Dinda Raudhatul Jannah

Pengembangan Smart Health Monitoring Berbasis IoT dengan Prediksi Serangan Jantung Menggunakan Algoritma SVM (Support Vector Machine)

Untung Surapati; Dadang Iskandar Mulyana; Dedi Gunawan; Anggit Purnama

Implementasi Pengamanan Data Pribadi dengan QR Code Terenkripsi Advanced Encryption Standard (AES) pada Gambar Digital Metode Discrete Cosine Transform (DCT)

Dadang Iskandar Mulyana; Sopan Adrianto; Sugiyono Sugiyono; Muflikhan Dimas Dwiprayogi

Analisis Sentimen Publik terhadap Hashtag #kaburajadulu Menggunakan Kombinasi Algoritma Support Vector Machine (SVM) dan Random Forest

Yuma Akbar; Frencis Matheos Sarimolle; Dwi Swasono Rachmad; Muhammad Derry Oktaviandi

Deteksi Tingkat Konsentrasi Belajar Melalui Perilaku Siswa di Kelas Menggunakan Convolutional Neural Networks

Yuma Akbar; Sopan Adrianto; Rasiban Rasiban; Nadya Khairunnisa

Stabilisasi Pengukuran Jarak Antar Landmark Untuk Gesture Recognition Menggunakan Regresi Polinomial

Dadang Iskandar Mulyana; Tri Wahyudi; Dwi Swasono Rachmad; Muhammad Khalid
Tren Sitasi Jurnal