1 publication

• Published Subscription Review Article 20 Apr 2026

  Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms

  By Aayush Shukla, Alok Singh, Padma Mishra, Melissa Fernandes

  Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …

  Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article →