Papers by Thomas Steffek

2 papers
Data Drift in Clinical Outcome Prediction from Admission Notes (2024.lrec-main)

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Challenge: a pivotal dataset for clinical NLP research was released in 2016 . public access to such datasets is limited due to privacy and ethical concerns .
Approach: They propose a novel clinical outcome prediction dataset based on MIMIC-IV . they provide initial insights into the performance of models trained on MIDIC-III .
Outcome: The proposed dataset aims to probe the robustness and generalization of clinical outcome prediction models . the study focuses on challenges tied to evolving documentation standards and changing codes in the ICD taxonomy .
CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models (2026.eacl-long)

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Challenge: generative large language models are being investigated for complex medical tasks, but their effectiveness in real-world clinical applications remains underexplored.
Approach: They propose to compare encoder-based classifiers and generative LLMs for discharge diagnosis prediction from admission notes in a MIMIC-IV dataset.
Outcome: The proposed benchmark compares encoder-based classifiers and generative LLMs for discharge diagnosis prediction from admission notes in the MIMIC-IV dataset.

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