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Faculty Members have conducted research related to the Machine Learning Approach for the Determination of the Best Cut-Off Points for Ki67 Proliferation Index in Adjuvant and Neo-Adjuvant Therapy Breast Cancer Patients

Fatemeh Hajialiasgari

Assistant Professor of Information Technology

Department Electronic health

School of Medicine

Tehran University of Medical Sciences

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1. The Role of Tele-Herbal Consultations in Workplace Wellness, Work (2025)

2. Clinical Manifestations of Wegener Granulomatosis in Iranian Ethnicities Using the K-Means Algorithm: A Descriptive Study, International Archives of Otorhinolaryngology (2024)

3. The Role of Telehealth in the Care of Musculoskeletal Pain Conditions After Covid-19, Work (2023)

4. Colorectal Cancer Registration: Data Approach to Knowledge, Studies in Health Technology and Informatics (2019)

5. Discovery of Hidden Patterns in Breast Cancer Patients, Using Data Mining on a Real Data Set, Studies in Health Technology and Informatics (2019)

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Fatemeh Hajialiasgari

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