Search Results for author: Hercules Dalianis

Found 21 papers, 1 papers with code

Evaluating Pretraining Strategies for Clinical BERT Models

no code implementations LREC 2022 Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis

Here, an empirical investigation is carried out in which various strategies for adapting a generic language model to the clinical domain are compared to pretraining a pure clinical language model.

Language Modelling

On the Contribution of Per-ICD Attention Mechanisms to Classify Health Records in Languages with Fewer Resources than English

2 code implementations RANLP 2021 Alberto Blanco, Sonja Remmer, Alicia Pérez, Hercules Dalianis, Arantza Casillas

We introduce a multi-label text classifier with per-label attention for the classification of Electronic Health Records according to the International Classification of Diseases.

Language Modelling

The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text

no code implementations EMNLP (Louhi) 2020 Hanna Berg, Aron Henriksson, Hercules Dalianis

The impact of de-identification on data quality and, in particular, utility for developing models for downstream tasks has been more thoroughly studied for structured data than for unstructured text.

De-identification named-entity-recognition +2

Detecting Adverse Drug Events from Swedish Electronic Health Records using Text Mining

no code implementations LREC 2020 Maria Bampa, Hercules Dalianis

The experimental findings suggest that the clinical text in EHRs includes information that can capture data beyond the ones that are found in a structured format.

Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text

no code implementations WS 2019 Hanna Berg, Taridzo Chomutare, Hercules Dalianis

This article presents experiments with pseudonymised Swedish clinical text used as training data to de-identify real clinical text with the future aim to transfer non-sensitive training data to other hospitals.

Benchmarking De-identification

Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text

no code implementations LREC 2012 Maria Skeppstedt, Maria Kvist, Hercules Dalianis

Named entity recognition of the clinical entities disorders, findings and body structures is needed for information extraction from unstructured text in health records.

named-entity-recognition Named Entity Recognition +1

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