Maryam Pishgar

According to our database, Maryam Pishgar authored at least 28 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients.

Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar

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.

Li Sun, Shuheng Chen, Junyi Fan, Yong Si, Minoo Ahmadi, Elham Pishgar, Kamiar Alaei, Maryam Pishgar

CoRR, August, 2025

Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost.

Junyi Fan, Li Sun, Shuheng Chen, Yong Si, Minoo Ahmadi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar

CoRR, July, 2025

Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning.

Yong Si, Junyi Fan, Li Sun, Shuheng Chen, Minoo Ahmadi, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar

CoRR, July, 2025

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach.

Li Sun, Shuheng Chen, Yong Si, Junyi Fan, Maryam Pishgar, Elham Pishgar, Kamiar Alaei, Greg Placencia

CoRR, June, 2025

Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data.

Tinghuan Li, Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar

CoRR, June, 2025

Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia.

Junyi Fan, Shuheng Chen, Li Sun, Yong Si, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar

CoRR, May, 2025

Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease.

Haonan Pan, Shuheng Chen, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar

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.

Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar

CoRR, February, 2025

Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards.

Li Sun, Negin Ashrafi, Maryam Pishgar

CoRR, February, 2025

A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction.

Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar

CoRR, February, 2025

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases.

Shuheng Chen, Junyi Fan, Armin Abdollahi, Negin Ashrafi, Kamiar Alaei, Greg Placencia, Maryam Pishgar

CoRR, January, 2025

2024

Prediction of 30-day mortality for ICU patients with Sepsis-3.

Zhijiang Yu, Negin Ashrafi, Hexin Li, Kamiar Alaei, Maryam Pishgar

BMC Medical Informatics Decis. Mak., December, 2024

Prediction of sepsis mortality in ICU patients using machine learning methods.

Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei, Maryam Pishgar

BMC Medical Informatics Decis. Mak., December, 2024

Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database.

Aleyeh Roknaldin, Zehao Zhang, Jiayuan Xu, Kamiar Alaei, Maryam Pishgar

CoRR, 2024

Dynamic Token Selection for Aerial-Ground Person Re-Identification.

Yuhai Wang, Maryam Pishgar

CoRR, 2024

Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database.

Negin Ashrafi, Armin Abdollahi, Jiahong Zhang, Maryam Pishgar

CoRR, 2024

Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality.

Arseniy Shumilov, Yueting Zhu, Negin Ashrafi, Gaojie Lian, Shilong Ren, Maryam Pishgar

CoRR, 2024

Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques.

Negin Ashrafi, Armin Abdollahi, Maryam Pishgar

CoRR, 2024

Enhanced Mortality Prediction in ICU Stroke Patients via Deep Learning.

Armin Abdollahi, Xinghong Ma, Jiahao Zhang, Daijia Wu, Tongshou Wu, Zizheng Ye, Maryam Pishgar

CoRR, 2024

Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes.

Negin Ashrafi, Armin Abdollahi, Greg Placencia, Maryam Pishgar

CoRR, 2024

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems.

Antonios Alexos, Yu-Dai Tsai, Ian Domingo, Maryam Pishgar, Pierre Baldi

CoRR, 2024

2022

Prediction of unplanned 30-day readmission for ICU patients with heart failure.

Maryam Pishgar, Julian Theis, Marina Del Rios, Amer Ardati, H. Anahideh, Houshang Darabi

BMC Medical Informatics Decis. Mak., 2022

A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.

Maryam Pishgar, Samuel Harford, Julian Theis, William L. Galanter, Jorge Mario Rodríguez-Fernández, L. H. Chaisson, Y. Zhang, A. Trotter, Karl M. Kochendorfer, A. Boppana, Houshang Darabi

BMC Medical Informatics Decis. Mak., 2022

Improving Process Discovery Algorithms Using Event Concatenation.

Maryam Pishgar, Martha Razo, Houshang Darabi

IEEE Access, 2022

2021

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models.

William L. Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi

BMC Medical Informatics Decis. Mak., 2021

Process Mining Model to Predict Mortality in Paralytic Ileus Patients.

Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi

CoRR, 2021

2018

Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine.

Maryam Pishgar, Fazle Karim, Somshubra Majumdar, Houshang Darabi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018