1 |
Learning Disentangled Representations of Negation and Uncertainty ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Natural language processing applied to mental illness detection: a narrative review
|
|
|
|
In: NPJ Digit Med (2022)
|
|
BASE
|
|
Show details
|
|
5 |
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
|
|
|
|
In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021)
|
|
Abstract:
Automatic ICD coding is the task of assigning codes from the International Classification of Diseases (ICD) to medical notes. These codes describe the state of the patient and have multiple applications, e.g., computer-assisted diagnosis or epidemiological studies. ICD coding is a challenging task due to the complexity and length of medical notes. Unlike the general trend in language processing, no transformer model has been reported to reach high performance on this task. Here, we investigate in detail ICD coding using PubMedBERT, a state-of-the-art transformer model for biomedical language understanding. We find that the difficulty of fine-tuning the model on long pieces of text is the main limitation for BERT-based models on ICD coding. We run extensive experiments and show that despite the gap with current state-of-the-art, pretrained transformers can reach competitive performance using relatively small portions of text. We point at better methods to aggregate information from long texts as the main need for improving BERT-based ICD coding.
|
|
URL: https://hdl.handle.net/20.500.11850/497651 https://doi.org/10.3929/ethz-b-000497651
|
|
BASE
|
|
Hide details
|
|
6 |
BioVAE: a pre-trained latent variable language model for biomedical text mining
|
|
|
|
In: Bioinformatics (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Identification of research hypotheses and new knowledge from scientific literature ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Identification of research hypotheses and new knowledge from scientific literature ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
|
|
|
|
BASE
|
|
Show details
|
|
|
|