Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. - Maryam Pishgar; Fazle Karim; Somshubra Majumdar; Houshang Darabi (IEEE BigData, 2018)

Process Mining Model to Predict Mortality in Paralytic Ileus Patients. - Maryam Pishgar; Martha Razo; Julian Theis; Houshang Darabi (CoRR, 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)

Improving Process Discovery Algorithms Using Event Concatenation. - Maryam Pishgar; Martha Razo; Houshang Darabi (IEEE Access, 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)

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)

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems. - Antonios Alexos; Yu-Dai Tsai; Ian Domingo; Maryam Pishgar; Pierre Baldi (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)

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)

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)

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)

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)

Dynamic Token Selection for Aerial-Ground Person Re-Identification. - Yuhai Wang; Maryam Pishgar (CoRR, 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)

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., 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., 2024)

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, 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, 2025)

Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards. - Li Sun; Negin Ashrafi; Maryam Pishgar (CoRR, 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, 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, 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, 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, 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, 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, 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, 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, 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., 2025)