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Hevlie Winda Nazry S
Universitas Muhammadiyah Sumatera Utara
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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COMPARATIVE ANALYSIS OF SUPPORT VECTOR MACHINE KERNELS FOR DIABETES RISK PREDICTION Anggara Dwizal Putra; Hevlie Winda Nazry S
Komprehensif Vol 4 No 2 (2026)
Publisher : CV Edu Tech Jaya

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Abstract

Diabetes mellitus is a critical global healthcare challenge requiring accessible, non-invasive early screening. This study presents a comparative evaluation of Support Vector Machine (SVM) algorithms using three kernels: Linear, Polynomial (degree 3), and Radial Basis Function (RBF). Using 30,000 patient records from the CDC BRFSS across nine clinical indicators, the data was preprocessed via Z-score standardization and an 80:20 split. Results show that while the Polynomial kernel achieved slightly higher accuracy (84.50%) and precision (80.55%), it suffered from high computational latency (53.95 seconds). In contrast, the RBF kernel demonstrated superior balance and generalizability, yielding 84.40% accuracy, 84.40% recall, and the highest overall F1-score of 78.23% with a highly efficient training latency of just 11.77 seconds. Additionally, mathematical simulations on a real patient test vector yielded a definitive posterior probability of 80.66%. Ultimately, these findings establish the RBF-SVM framework as an optimal, robust, and computationally efficient predictive engine for automated community-scale clinical decision support.
Co-Authors Amin Harahap Andi Zulherry Andriani, Karina Anggara Dwizal Putra Athary Zikry Bobbyn Hilma Dina Aulia Arsyika Dwiputra, Audry Zaky Ferdy Riza Firahmi Rizky Gandi Tridarma M. Syauqi Haris Mika Debora Br Barus Rizky, Firahmi Setik, Roziyani Suci Handayani Yohanni Syahra Yuni Franciska Tarigan Zuli Agustina Gultom