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Ali Yavari
Ali Yavari, MSc.

Center for Medical Physics and Biomedical Engineering
Position: PHD Student

ORCID: 0000-0002-7280-1929
T +43 1 681 813 953 05

Further Information


Artificial Intelligence

Research group(s)

Research interests

My research areas of interest include Machine Learning, Deep learning (NLP, Computer Vision, Generative Adversarial Networks), Evolutionary computation and AI in health care (Diagnosis, Prognosis, Treatment).

Selected publications

  1. Yavari, A., Rajabzadeh, A. and Abdali-Mohammadi, F. (2021) ‘Profile-based assessment of diseases affective factors using fuzzy association rule mining approach: A case study in heart diseases’, Journal of Biomedical Informatics, 116, p. 103695. Available at:
  2. A. Yavari, A. Rajabzadeh, and F. Abdali-Mohammadi, “A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis.” arXiv, 2021. doi: 10.48550/ARXIV.2109.10966.
  3. A. Yavari, P. Janjani, S. Motavaseli, S. Weysi, S. Siabani, and M. Rouzbahani, “GWO-FI: A novel machine learning framework by combining Gray Wolf Optimizer and Frequent Itemsets to diagnose and investigate effective factors on In-Hospital Mortality and Length of Stay among Kermanshahian Cardiovascular Disease patients.” arXiv, 2022. doi: 10.48550/ARXIV.2212.13048.