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M. Churpek

11 papers hereh-index 406.5k citations188 works total

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

author position
  • middle author11

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.AI2
same name
  • M. Churpek — 2 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedLeveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

91 citations · 150 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.AI2024

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability

Yanjun Gao, Skatje Myers, Shan Chen +7

Large language models (LLMs) are being explored for diagnostic decision support, yet their ability to estimate pre-test probabilities, vital for clinical decision-making, remains l…

cs.CL2024★ 17 cited

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies

Skatje Myers, Timothy A. Miller, Yanjun Gao +4

Objective: Applying large language models (LLMs) to the clinical domain is challenging due to the context-heavy nature of processing medical records. Retrieval-augmented generation…

cs.CL2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen +5

The introduction of Large Language Models (LLMs) has advanced data representation and analysis, bringing significant progress in their use for medical questions and answering. Desp…

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