3 papers
q-bio.QM2026
ARMD-Predict: multi-site machine learning to predict antibiotic resistance before culture results
Fateme Nateghi Haredasht, Nicholas P. Marshall, Wenyuan Chen +17
Clinicians select empiric antibiotics before culture susceptibility results are available. Electronic health record (EHR) models could inform that choice, but most are developed at…
cs.LG2025
A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation
Fatemeh Amrollahi, Nicholas Marshall, Fateme Nateghi Haredasht +10
Blood cultures are often over ordered without clear justification, straining healthcare resources and contributing to inappropriate antibiotic use pressures worsened by the global…
q-bio.QM2025
Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs
Fateme Nateghi Haredasht, Fatemeh Amrollahi, Manoj Maddali +13
The Antibiotic Resistance Microbiology Dataset (ARMD) is a de-identified resource derived from electronic health records (EHR) that facilitates research in antimicrobial resistance…