Tehran University of Medical Sciences

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Faculty Members have conducted research related to the Discovery of Hidden Patterns in Breast Cancer Patients, Using Data Mining on a Real Data Set
Alireza Atashi
Alireza Atashi

Assistant Professor of Medical Informatics

Department Electronic health

School of Medicine

Tehran University of Medical Sciences

Related Documents
1. Discovery of Hidden Patterns in Breast Cancer Patients, Using Data Mining on a Real Data Set, Studies in Health Technology and Informatics (2019)
All Documents
1. Agenda Setting for Health Equity Assessment Through the Lenses of Social Determinants of Health Using Machine Learning Approach: A Framework and Preliminary Pilot Study, BioData Mining (2025)
2. Deep Learning Application in Diagnosing Breast Cancer Recurrence, Multimedia Tools and Applications (2025)
3. Enhancing Machine Learning Performance in Cardiac Surgery Icu: Hyperparameter Optimization With Metaheuristic Algorithm, PLoS ONE (2025)
4. Health Information Technology and Optimizing Workflow in a Teaching Hospital, Payesh (2025)
5. Identifying the Challenges of a Telecare System Establishment for Older Adults and Providing a Solution: A Qualitative Study, BMC Geriatrics (2025)
6. Designing, Validation and Evaluation of the Expert System of “Healthy Menopause” and Assessing Its Effect on the Management of Menopause Symptoms: An Exploratory Mixed Method Study Protocol, Reproductive Health (2024)
7. Determination of Disease Risk Factors Using Binary Data Envelopment Analysis and Logistic Regression Analysis (Case Study: A Stroke Risk Factors), Journal of Modelling in Management (2024)
8. Models to Predict Length of Stay in the Emergency Department: A Systematic Literature Review and Appraisal, BMC Emergency Medicine (2024)
9. Predicting the Need for Cardiovascular Surgery: A Comparative Study of Machine Learning Models, Journal of Electronics# Electromedical Engineering# and Medical Informatics (2024)
10. An Ensemble Data Mining Approach to Discover Medical Patterns and Provide a System to Predict the Mortality in the Icu of Cardiac Surgery Based on Stacking Machine Learning Method, Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization (2023)
11. Predicting the Mortality of Patients With Covid-19: A Machine Learning Approach, Health Science Reports (2023)
12. Prediction of Breast Cancer Using Machine Learning Approaches, Journal of Biomedical Physics and Engineering (2022)
13. Practical Recommendations for the Preoperative Screening and Protective Protocols in Cancer Surgeries During Covid-19: A Systematic Review, Frontiers in Surgery (2021)
14. Practical Recommendations for the Preoperative Screening and Protective Protocols in Cancer Surgeries During Covid-19: A Systematic Review, Frontiers in Surgery (2021)
15. Prediction Breast Cancer Risk: Performance Analysis Data Mining Techniques, Frontiers in Health Informatics (2021)
16. Prediction of Mortality in Patients Admitted to Intensive Care Units, a Comparison of Three Data Mining Techniques: A Brief Report., Tehran University Medical Journal (2021)
17. The Impact of Mobile Health on Breast Cancer Patient’S Life and Treatment: A Systematic Review, Frontiers in Health Informatics (2021)
18. A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset, IEEE Access (2020)
19. Challenges of Home Health Care During Covid-19 Outbreak in Iran, International Journal of Community Based Nursing and Midwifery (2020)
20. Bone Metastasis Prognostic Factors in Breast Cancer, Breast Cancer: Basic and Clinical Research (2019)
21. Colorectal Cancer Registration: Data Approach to Knowledge, Studies in Health Technology and Informatics (2019)
22. Discovery of Hidden Patterns in Breast Cancer Patients, Using Data Mining on a Real Data Set, Studies in Health Technology and Informatics (2019)
23. Development of a National Core Dataset for the Iranian Icu Patients Outcome Prediction: A Comprehensive Approach, Journal of Innovation in Health Informatics (2018)
24. External Validation of European System for Cardiac Operative Risk Evaluation Ii (Euroscore Ii) for Risk Prioritization in an Iranian Population, Brazilian Journal of Cardiovascular Surgery (2018)
25. Intensive Care Decision Making: Using Prognostic Models for Resource Allocation, Studies in Health Technology and Informatics (2018)
26. Models to Predict Length of Stay in the Intensive Care Unit After Coronary Artery Bypass Grafting: A Systematic Review, Journal of Cardiovascular Surgery (2018)
27. Supportive Care of Breast Cancer Patients in Iran: A Systematic Review, International Journal of Cancer Management (2018)
28. The Prospective Validation of Euroscore Ii Risk Scoring System for Patients Underwent Cardiac Surgery: Brief Report, Tehran University Medical Journal (2018)
29. Designing the Colorectal Cancer Core Dataset in Iran, Tehran University Medical Journal (2017)
30. Which Models Can I Use to Predict Adult Icu Length of Stay? a Systematic Review, Critical Care Medicine (2017)