Hassan Rafieemehr Ph.D

Dr. Hassan Rafieemehr is affiliated with Hamadan University of Medical Sciences in Hamadan, Iran, where he contributes to research at the intersection of clinical medicine and computational methods. His scholarly work focuses on the application of machine learning algorithms to medical prediction and decision-making, particularly in trauma care and patient outcome modeling. His most influential publication, "Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms" (2023), has garnered significant attention with 54 citations, reflecting the growing importance of data-driven approaches in emergency and critical care settings. Dr. Rafieemehr has authored more than 10 indexed publications, establishing a research profile centered on leveraging advanced statistical and computational techniques to improve clinical prognostication and healthcare delivery.

• Evaluation of risk management status in selected departments of educational hospitals of Hamadan University of Medical Sciences
• Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms
• A concise review on factors influencing the hematopoietic stem cell transplantation main outcomes
• Effects of Lifestyle and Environmental Factors on the Risk of Acute Myeloid Leukemia: Result of a Hospital-based Case-Control Study