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Faculty Members have conducted research related to the Predicting the Cause of Kidney Stones in Patients Using Random Forest, Support Vector Machine and Neural Network

Saeed Saeedbakhsh

Assistant Professor of Financial Management

Department of Management and Health Information Technology, School of Management and Medical Information Sciences

Health Information Technology Research Center

Isfahan University of Medical Sciences

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1. Using Internet of Things for Child Care: A Systematic Review, International Journal of Preventive Medicine (2025)

2. Diagnosis of Coronary Artery Disease Based on Machine Learning Algorithms Support Vector Machine, Artificial Neural Network, and Random Forest, Advanced Biomedical Research (2023)

3. Identifying the Most Important Factors in Determining the Osteoporosis in Women Using Data Mining Techniques, Acta Medica Iranica (2023)

4. Application of Data Mining Techniques in Predicting Coronary Heart Disease: A Systematic Review, International Journal of Environmental Health Engineering (2021)

5. An Assessment and Comparison of Information Quality of Hospital Information Systems in Medical-Teaching Hospitals of the City of Isfahan Based on Delone and Mclean's Modified Model, Life Science Journal (2014)

6. Assessment of Medical Records Module of Health Information System According to Iso 9241-10, Acta Informatica Medica (2013)

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Saeed Saeedbakhsh

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