Elham Pishgar
Orcid: 0000-0002-4154-3293
According to our database1,
Elham Pishgar authored at least 10 papers
between 2025 and 2026.
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Bibliography
2026
A Novel Multi-Task Teacher-Student Architecture With Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction.
IEEE J. Biomed. Health Informatics, March, 2026
2025
Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients.
BMC Medical Informatics Decis. Mak., December, 2025
Interpretable Machine Learning Model for Early Prediction of Acute Kidney Injury in Critically Ill Patients with Cirrhosis: A Retrospective Study.
CoRR, August, 2025
Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost.
CoRR, July, 2025
Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning.
CoRR, July, 2025
Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach.
CoRR, June, 2025
Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data.
CoRR, June, 2025
Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia.
CoRR, May, 2025
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease.
CoRR, March, 2025
XGBoost-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database.
CoRR, February, 2025