| REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health Maryam Pishgar, Salah Fuad Issa, Margaret Sietsema, Preethi Pratap, Houshang ... Int. J. Environ. Res. Public Health 2021 18 (13), 1660-4601, 2021 | 84* | 2021 |
| Prediction of unplanned 30-day readmission for ICU patients with heart failure M Pishgar, J Theis, M Del Rios, A Ardati, H Anahideh, H Darabi BMC medical informatics and decision making 22 (1), 117, 2022 | 46 | 2022 |
| Pathological voice classification using mel-cepstrum vectors and support vector machine M Pishgar, F Karim, S Majumdar, H Darabi arXiv preprint arXiv:1812.07729, 2018 | 44 | 2018 |
| Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models Rodríguez-Fernández JM, Chow K, Harford S, Kochendorfer KM, Pishgar M, Theis ... BMC Medical Informatics and Decision Making, 2021 | 21 | 2021 |
| Predicting Sepsis Mortality Using Machine Learning Methods MP Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei medRxiv, 2024.03. 14.24304184, 2024 | 20* | 2024 |
| Deep learning model utilization for mortality prediction in mechanically ventilated ICU patients N Ashrafi, Y Liu, X Xu, Y Wang, Z Zhao, M Pishgar Informatics in Medicine Unlocked 49, 101562, 2024 | 18 | 2024 |
| Process mining model to predict mortality in paralytic ileus patients M Pishgar, M Razo, J Theis, H Darabi 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI), 1-6, 2021 | 18 | 2021 |
| A process mining-deep learning approach to predict survival in a cohort of hospitalized COVID‐19 patients M Pishgar, S Harford, J Theis, W Galanter, JM Rodríguez-Fernández, ... BMC Medical Informatics and Decision Making 22 (1), 194, 2022 | 17 | 2022 |
| Effect of a process mining based pre-processing step in prediction of the critical health outcomes N Ashrafi, A Abdollahi, G Placencia, M Pishgar arXiv preprint arXiv:2407.02821, 2024 | 10 | 2024 |
| Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques N Ashrafi, A Abdollahi, M Pishgar arXiv preprint arXiv:2408.01144, 2024 | 6 | 2024 |
| A machine learning-based prediction of hospital mortality in mechanically ventilated ICU patients H Li, N Ashrafi, C Kang, G Zhao, Y Chen, M Pishgar Plos one 19 (9), e0309383, 2024 | 5 | 2024 |
| Prediction of in-hospital mortality for icu patients with heart failure J Zhang, H Li, N Ashrafi, Z Yu, G Placencia, M Pishgar medRxiv, 2024.06. 25.24309448, 2024 | 5 | 2024 |
| Process Mining/Deep Learning Model to Predict Mortality in Coronary Artery Disease Patients N Ashrafi, A Abdollahi, G Placencia, M Pishgar medRxiv, 2024.06. 26.24309553, 2024 | 4 | 2024 |
| Improving process discovery algorithms using event concatenation M Pishgar, M Razo, H Darabi IEEE Access 10, 69072-69090, 2022 | 3 | 2022 |
| Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database N Ashrafi, A Abdollahi, J Zhang, M Pishgar arXiv preprint arXiv:2409.01685, 2024 | 2 | 2024 |
| Enhanced mortality prediction in icu stroke patients via deep learning A Abdollahi, X Ma, J Zhang, D Wu, T Wu, Z Ye, M Pishgar arXiv e-prints, arXiv: 2407.14211, 2024 | 2 | 2024 |
| Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality A Shumilov, Y Zhu, N Ashrafi, M Pishgar arXiv preprint arXiv:2408.01612, 2025 | 1 | 2025 |
| A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction H Jin, N Ashrafi, K Alaei, E Pishgar, G Placencia, M Pishgar arXiv preprint arXiv:2502.16834, 2025 | | 2025 |
| Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards L Sun, N Ashrafi, M Pishgar arXiv preprint arXiv:2502.17054, 2025 | | 2025 |
| ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases H Li, R Monger, E Pishgar, M Pishgar medRxiv, 2025.01. 01.25319859, 2025 | | 2025 |
Houshang DarabiUniversity of Illinois ChicagoEmail được xác minh tại uic.edu