3 papers
cs.CL2025
Predicting Antibiotic Resistance Patterns Using Sentence-BERT: A Machine Learning Approach
Mahmoud Alwakeel, Michael E. Yarrington, Rebekah H. Wrenn +4
Antibiotic resistance poses a significant threat in in-patient settings with high mortality. Using MIMIC-III data, we generated Sentence-BERT embeddings from clinical notes and app…
stat.AP2024
An analytic approach for understanding mechanisms driving breakthrough infections
Amanda Brucker, Jillian H Hurst, Emily C O'Brien +4
Real world data is an increasingly utilized resource for post-market monitoring of vaccines and provides insight into real world effectiveness. However, outside of the setting of a…
cs.CL2023
Using natural language processing and structured medical data to phenotype patients hospitalized due to COVID-19
Feier Chang, Jay Krishnan, Jillian H Hurst +4
To identify patients who are hospitalized because of COVID-19 as opposed to those who were admitted for other indications, we compared the performance of different computable pheno…