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researcher

M. Carrithers

3 papers hereh-index 162.2k citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedA Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2024

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…

cs.CL2024

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…

cs.AI2024★ 1 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.