User Interface Problems of a Nationwide Inpatient Information System: A Heuristic Evaluation. - Alireza Atashi; Amirabbas Azizi; Ali Dadashi; Reza Khajouei (Appl. Clin. Inform., 2016)

Erratum: User Interface Problems of a Nationwide Inpatient Information System: A Heuristic Evaluation. - Alireza Atashi; Reza Khajouei; Amirabbas Azizi; Ali Dadashi (Appl. Clin. Inform., 2016)

Intensive Care Decision Making: Using Prognostic Models for Resource Allocation. - Alireza Atashi; Masoumeh Sarbaz; Sina Marashi; Fatemeh Hajialiasgari; Saeid Eslami (ICIMTH, 2018)

Discovery of Hidden Patterns in Breast Cancer Patients, Using Data Mining on a Real Data Set. - Alireza Atashi; Fariba Tohidinezhad; Sara Dorri; Najmeh Nazeri; Rouzbeh Ghousi; Sina Marashi; Fatemeh Hajialiasgari (ICIMTH, 2019)

Colorectal Cancer Registration: Data Approach to Knowledge. - Sara Dorri; Najmeh Nazeri; Seyedeh nahid Seyedhasani; Sina Marashi; Fatemeh Hajialiasgari; Alireza Atashi (ICIMTH, 2019)

A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset. - Ramin Ghorbani; Rouzbeh Ghousi; Ahmad Makui; Alireza Atashi (IEEE Access, 2020)

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. - Arman Ghavidel; Rouzbeh Ghousi; Alireza Atashi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier. - Mohammad Maftoun; Javad Hassannataj Joloudari; Omid Zare; Maryam Khademi; Alireza Atashi; Mohammad Ali Nematollahi; Roohallah Alizadehsani; Juan Manuel Górriz (IWINAC, 2024)

Presenting a Two-Stage Hybrid Model for Allocating Advanced Ventilators Using Machine Learning Methods: A Case Study. - Ali Bahrami; Rouzbeh Ghousi; Alireza Atashi; Farnaz Barzinpour (IEEE Access, 2024)

Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study. - Maryam Ramezani 005; Mohammadreza Mobinizadeh; Ahad Bakhtiari; Hamid R. Rabiee 001; Maryam Ramezani 002; Hakimeh Mostafavi; Alireza Olyaeemanesh; Ali Akbar Fazaeli; Alireza Atashi; Saharnaz Sazgarnejad; Efat Mohamadi; Amirhossein Takian (BioData Min., 2025)

Deep learning application in diagnosing breast cancer recurrence. - Zeinab Jam; Amir Albadvi; Alireza Atashi (Multim. Tools Appl., 2025)