Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke. - Ibrahim Almubark; Lin-Ching Chang; Rahsaan J. Holley; iian Black; Ji Chen; Evan Chan; Alexander Dromerick; Peter S. Lum (IEEE BigData, 2018)

Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. - Tan Tran; Lin-Ching Chang; Ibrahim Almubark; Elaine M. Bochniewicz; Liqi Shu; Peter S. Lum; Alexander Dromerick (IEEE BigData, 2018)

Similarity Matching for Workflows in Medical Domain Using Topic Modeling. - Khalid Khawaji; Ibrahim Almubark; Abdullah Almalki; Bradley D. Taylor (SERVICES, 2018)

Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques. - Ibrahim Almubark; Lin-Ching Chang; Thanh Nguyen 006; Raymond Scott Turner; Xiong Jiang (IEEE BigData, 2019)

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data. - Ibrahim Almubark; Samah Alsegehy; Xiong Jiang; Lin-Ching Chang (IJCCI, 2020)

Brain Stroke Prediction Using Machine Learning Techniques. - Ibrahim Almubark (IEEE Big Data, 2023)

Machine learning approaches to identify Parkinson's disease using voice signal features. - Raya Alshammri; Ghaida Alharbi; Ebtisam Alharbi; Ibrahim Almubark (Frontiers Artif. Intell., 2023)

Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding. - Ibrahim Almubark (IEEE Access, 2024)

Exploring the Impact of Large Language Models on Disease Diagnosis. - Ibrahim Almubark (IEEE Access, 2025)