[1]
“Machine Learning for Gestational Diabetes Mellitus: Comparing Random Forest, K-Nearest Neighbor and Naive Bayes for Effective Risk Classification”, ichbs, vol. 1, no. 1, pp. 280–295, Jan. 2025, Accessed: Aug. 28, 2025. [Online]. Available: https://ichbs.uhb.ac.id/index.php/proceeding/article/view/52