A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM. - Mohammed Gollapalli; Aisha Alansari; Heba Alkhorasani; Meelaf Alsubaii; Rasha Sakloua; Reem Alzahrani; Mohammed Al-Hariri; Maiadah Alfares; Dania AlKhafaji; Reem Al Argan; Waleed Albaker (Comput. Biol. Medicine, 2022)

Machine Learning Approaches for Predicting Risk of Cardiometabolic Disease among University Students. - Dhiaa Musleh; Ali Alkhwaja; Ibrahim Alkhwaja; Mohammed Alghamdi; Hussam Abahussain; Mohammed Albugami; Faisal Alfawaz; Said El-Ashker; Mohammed Al-Hariri (Big Data Cogn. Comput., 2024)

Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach. - Mohammed Gollapalli; Atta Rahman 001; Sheriff A. Kudos; Mohammed S. Foula; Abdullah Mahmoud Alkhalifa; Hassan Mohammed Albisher; Mohammed Taha Al-Hariri; Nazeeruddin Mohammad (Big Data Cogn. Comput., 2024)