3 citations · 4 across the 4 of their papers we have counts for
4 papers
Efficient Standardization of Clinical Notes using Large Language Models
Daniel B. Hier, Michael D. Carrithers, Thanh Son Do +1
Clinician notes are a rich source of patient information but often contain inconsistencies due to varied writing styles, colloquialisms, abbreviations, medical jargon, grammatical…
High-Throughput Phenotyping of Clinical Text Using Large Language Models
Daniel B. Hier, S. Ilyas Munzir, Anne Stahlfeld +2
High-throughput phenotyping automates the mapping of patient signs to standardized ontology concepts and is essential for precision medicine. This study evaluates the automation of…
A Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes
Syed I. Munzir, Daniel B. Hier, Chelsea Oommen +1
High-throughput phenotyping, the automated mapping of patient signs and symptoms to standardized ontology concepts, is essential to gaining value from electronic health records (EH…
High Throughput Phenotyping of Physician Notes with Large Language and Hybrid NLP Models
Syed I. Munzir, Daniel B. Hier, Michael D. Carrithers
Deep phenotyping is the detailed description of patient signs and symptoms using concepts from an ontology. The deep phenotyping of the numerous physician notes in electronic healt…