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Studies in Health Technology and Informatics|August 8, 2025
Performance of Open-Source Large Language Models to Extract Symptoms from Clinical NotesYunbing Bai, Wanting Cui, Joseph FinkelsteinStudies in Health Technology and Informatics|July 1, 2025
Evaluating Misalignment Between Emergency Department and Discharge DiagnosesWanting Cui, Xingyue Huo, Joseph FinkelsteinStudies in Health Technology and Informatics|July 1, 2025
Machine Learning Approaches for Predicting Mortality in Metastatic Castration-Resistant Prostate CancerXingyue Huo, Manish Kohli, Joseph FinkelsteinStudies in Health Technology and Informatics|April 9, 2025
Evaluation of the Performance of a Large Language Model to Extract Signs and Symptoms from Clinical NotesC Mahony Reategui-Rivera, Joseph FinkelsteinStudies in Health Technology and Informatics|July 3, 2026
Machine Learning Approaches for Mortality Prediction in ARDSXingyue Huo, Christian Bime, Joseph FinkelsteinAMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
Comparison of long-term results of computer-assisted anti-stigma education and reading anti-stigma educational materialsJoseph Finkelstein, Oleg Lapshin, Evgeny WassermanStudies in Health Technology and Informatics|May 19, 2023
Feasibility of a Virtual Reality App to Promote Pulmonary RehabilitationJoseph Finkelstein, Irena Parvanova, Xingye HuoStudies in Health Technology and Informatics|July 2, 2020
Unsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health RecordsWanting Cui, Daniel Robins, Joseph FinkelsteinStudies in Health Technology and Informatics|July 2, 2020
Association Between Number of Actionable Pharmacogenetic Variants and Length of Hospital StayJoseph Finkelstein, Frederick Zhang, Manuel CabreraStudies in Health Technology and Informatics|July 1, 2025
Utilizing Open-Source Large Language Models to Extract Genitourinary Symptoms from Clinical NotesYunbing Bai, Wanting Cui, Joseph FinkelsteinPageof 27