An Expert System Based on Fuzzy Bayesian Network for Heart Disease Diagnosis. - M. H. Fazel Zarandi; Abbas Seifi; Mohammad Mahdi Ershadi; H. Esmaeeli (NAFIPS, 2017)

An efficient multi-classifier method for differential diagnosis. - Mohammad Mahdi Ershadi; Abbas Seifi (Intell. Decis. Technol., 2020)

An efficient Bayesian network for differential diagnosis using experts' knowledge. - Mohammad Mahdi Ershadi; Abbas Seifi (Int. J. Intell. Comput. Cybern., 2020)

Fuzzy Expert Systems for Prediction of ICU Admission in Patients with COVID-19. - Ali Akbar Sadat Asl; Mohammad Mahdi Ershadi; Shahabeddin Sotudian (CoRR, 2021)

Simulation-based improvement and modification for performances of hospitals: a case study. - Mohammad Mahdi Ershadi; Ahmad Shafaeizadeh (Int. J. Simul. Process. Model., 2021)

An economic-statistical design of simple linear profiles with multiple assignable causes using a combination of MOPSO and RSM. - Mohammad Javad Ershadi; Mohammad Mahdi Ershadi; S. Haghighi Naeini; Seyed Taghi Akhavan Niaki (Soft Comput., 2021)

Applications of dynamic feature selection and clustering methods to medical diagnosis. - Mohammad Mahdi Ershadi; Abbas Seifi (Appl. Soft Comput., 2022)

A hierarchical machine learning model based on Glioblastoma patients' clinical, biomedical, and image data to analyze their treatment plans. - Mohammad Mahdi Ershadi; Zeinab Rahimi Rise; Seyed Taghi Akhavan Niaki (Comput. Biol. Medicine, 2022)

Fuzzy expert systems for prediction of ICU admission in patients with COVID-19. - Ali Akbar Sadatasl; Mohammad Mahdi Ershadi; Shahabeddin Sotudian; Xingyu Li; Scott Dick (Intell. Decis. Technol., 2022)

An integrated HFMEA simulation-based multi-objective optimisation model to improve the performances of hospitals: A case study. - Zeinab Rahimi Rise; Mohammad Mahdi Ershadi (J. Simulation, 2023)