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Tom Oberhauser

3 accepted papers

2024

Data Drift in Clinical Outcome Prediction from Admission Notes

COLING 2024main

Clinical NLP research faces a scarcity of publicly available datasets due to privacy concerns. MIMIC-III marked a significant milestone, enabling substantial progress, and now, with MIMIC-IV, the dataset has expanded significantly, offering a broader scope. In this paper, we focus on the task of pre…

Cited by 1SourcePDFScholar
2022

Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction

COLING 2022main

Diagnosis prediction on admission notes is a core clinical task. However, these notes may incompletely describe the patient. Also, clinical language models may suffer from idiosyncratic language or imbalanced vocabulary for describing diseases or symptoms. We tackle the task of diagnosis prediction,…

2020

TrainX – Named Entity Linking with Active Sampling and Bi-Encoders

COLING 2020system demonstrations

We demonstrate TrainX, a system for Named Entity Linking for medical experts. It combines state-of-the-art entity recognition and linking architectures, such as Flair and fine-tuned Bi-Encoders based on BERT, with an easy-to-use interface for healthcare professionals. We support medical experts in a…