| Predicting Sepsis Mortality Using Machine Learning Methods J Gao, Y Lu, N Ashrafi, IR Domingo, K Alaei, M Pishgar BMC medical informatics and decision making 24, 228, 2024 | 18 | 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 |
| 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 |
| Prediction of 30-Day Mortality for ICU Patients with Sepsis-3 Z Yu, N Ashrafi, H Li, K Alaei, M Pishgar BMC medical informatics and decision making 24, 223, 2024 | 6 | 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 |
| Prediction of in-hospital Mortality for ICU Patients with Heart Failure J Zhang, H Li, N Ashrafi, Z Yu, G Placencia, M Pishgar Proceedings of the 51st International Conference on Computers and Industrial …, 2024 | 5 | 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 | 4 | 2024 |
| Process Mining / Deep Learning Model to Predict Mortality in Coronary Artery Disease Patients N Ashrafi, A Abdollahi, G Placencia, M Pishgar Proceedings of the 51st International Conference on Computers and Industrial …, 2024 | 3 | 2024 |
| 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 |
| Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data A Abdollahi, N Ashrafi, 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, A Abdollahi, G Placencia, K Alaei, ... Proceedings of the 13th International SAI Computing Conference, 2024 | 1 | 2024 |
| 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 |
| Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases S Chen, J Fan, A Abdollahi, N Ashrafi, K Alaei, G Placencia, M Pishgar Proceedings of the 13th International SAI Computing Conference, 2025 | | 2025 |
| AI-Driven Solutions to Improve Safety and Health: Application of the REDECA Framework for Agricultural Tractor Drivers N Ashrafi, K Alaei, G Placencia, M Pishgar medRxiv, 2024.07. 10.24310227, 2024 | | 2024 |
Maryam PishgarProfessor at University of Southern Californiaכתובת אימייל מאומתת בדומיין usc.edu
