Fatemeh Amrollahi

According to our database, Fatemeh Amrollahi authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.

Fatemeh Amrollahi, Nicholas Marshall, Fateme Nateghi Haredasht, Kameron C. Black, Aydin Zahedivash, Manoj Maddali, Stephen P. Ma, Amy Chang, Stanley Deresinski, Mary K. Goldstein, Steven M. Asch, Niaz Banaei, Jonathan H. Chen

CoRR, April, 2025

Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records.

Fateme Nateghi Haredasht, Fatemeh Amrollahi, Manoj Maddali, Nicholas Marshall, Stephen P. Ma, Lauren N. Cooper, Richard J. Medford, Sanjat Kanjilal, Niaz Banaei, Stanley Deresinski, Mary K. Goldstein, Steven M. Asch, Amy Chang, Jonathan H. Chen

CoRR, March, 2025

2023

Unsupervised Detection and Correction of Model Calibration Shift at Test-Time.

Supreeth P. Shashikumar, Fatemeh Amrollahi, Shamim Nemati

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Development & Deployment of a Real-time Healthcare Predictive Analytics Platform.

Aaron Boussina, Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael A. Hogarth, Shamim Nemati

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data.

Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Inclusion of social determinants of health improves sepsis readmission prediction models.

Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi

J. Am. Medical Informatics Assoc., 2022

2020

AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production.

Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis.

Fatemeh Amrollahi, Supreeth P. Shashikumar, Fereshteh Razmi, Shamim Nemati

Proceedings of the AMIA 2020, 2020