Negin Ashrafi

According to our database, Negin Ashrafi authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• 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

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

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

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

2023

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., February, 2023

2021

Application of Granular Computing-Based Pre-processing in the Labelling of Phonemes.

Negin Ashrafi, Sheela Ramanna

Proceedings of the Intelligent Decision Technologies, 2021