4 papers
A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization
Zongliang Yue, Qi Li, Terry Heiman-Patterson +3
Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive device use,…
Natural Language Processing in Health Professions Education: A Scoping Review
Javad Mohammad Alizadeh, Pegah Saebi, Mukesh Kumar Patel +1
Natural language processing (NLP) and artificial intelligence (AI) are rapidly transforming health professions education, yet no scoping review has systematically mapped their appl…
DT4PCP: A Digital Twin Framework for Personalized Care Planning Applied to Type 2 Diabetes Management
Javad M Alizadeh, Mukesh K Patel, Huanmei Wu
Digital Twin (DT) technology has emerged as a transformative approach in healthcare, but its application in personalized patient care remains limited. This paper aims to present a…
Predicting Emergency Department Visits for Patients with Type II Diabetes
Javad M Alizadeh, Jay S Patel, Gabriel Tajeu +5
Over 30 million Americans are affected by Type II diabetes (T2D), a treatable condition with significant health risks. This study aims to develop and validate predictive models usi…