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Michael D. Carrithers

2 papers here

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
ORCID 0000-0001-5337-0804

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

2 papers

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…

cs.CL2024

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…

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