Application of Granular Computing-Based Pre-processing in the Labelling of Phonemes. - Negin Ashrafi; Sheela Ramanna (KES-IDT, 2021)

Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19. - Sheela Ramanna; Negin Ashrafi; Evan Loster; Karen Debroni; Shelley Turner (Frontiers Artif. Intell., 2023)

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 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)

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)

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)