Search Results for author: Joo Heung Yoon

Found 4 papers, 0 papers with code

Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information

no code implementations20 Sep 2024 Choonghan Kim, Seonhee Cho, Joo Heung Yoon

Purpose: To assess the robustness of LLMs in generating accurate impressions from chest radiography reports using both incomplete data and multimodal data.

Large Language Model

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact

no code implementations18 Jun 2022 Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael Pinsky, Marilyn Hravnak, Artur Dubrawski

Our weakly supervised models perform competitively with traditional supervised techniques and require less involvement from domain experts, demonstrating their use as efficient and practical alternatives to supervised learning in HC applications of ML.

Weakly Supervised Classification

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