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Plos One|May 15, 2025
A comparative analysis of large language models versus traditional information extraction methods for real-world evidence of patient symptomatology in acute and post-acute sequelae of SARS-CoV-2Vedansh Thakkar, Greg M Silverman, Abhinab Kc, et al.
Studies in Health Technology and Informatics|August 24, 2019
Named Entity Recognition in Prehospital Trauma CareGreg M Silverman, Elizabeth A Lindemann, Geetanjali Rajamani, et al.
Studies in Health Technology and Informatics|January 25, 2024
A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 PatientsGreg M Silverman, Geetanjali Rajamani, Nicholas E Ingraham, et al.
The Journal of Trauma and Acute Care Surgery|January 25, 2020
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriatenessChristopher J Tignanelli, Greg M Silverman, Elizabeth A Lindemann, et al.
JAMIA Open|August 23, 2021
A fast, resource efficient, and reliable rule-based system for COVID-19 symptom identificationHimanshu S Sahoo, Greg M Silverman, Nicholas E Ingraham, et al.
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