Recurrent neural network architectures for event extraction from italian medical reports

Natalia Viani, Timothya Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silviag Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Medical reports include many occurrences of relevant events in the form of free-text. To make data easily accessible and improve medical decisions, clinical information extraction is crucial. Traditional extraction methods usually rely on the availability of external resources, or require complex annotated corpora and elaborate designed features. Especially for languages other than English, progress has been limited by scarce availability of tools and resources. In this work, we explore recurrent neural network (RNN) architectures for clinical event extraction from Italian medical reports. The proposed model includes an embedding layer and an RNN layer. To find the best configuration for event extraction, we explored different RNN architectures, including Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). We also tried feeding morpho-syntactic information into the network. The best result was obtained by using the GRU network with additional morpho-syntactic inputs.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Proceedings
EditorsAnnette [surname]ten Teije, Christian Popow, Lucia Sacchi, John H. Holmes
PublisherSpringer-Verlag
Pages198-202
Number of pages5
ISBN (Print)9783319597577
DOIs
StatePublished - 2017
Event16th Conference on Artificial Intelligence in Medicine, AIME 2017 - Vienna, Austria
Duration: Jun 21 2017Jun 24 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10259 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th Conference on Artificial Intelligence in Medicine, AIME 2017
Country/TerritoryAustria
CityVienna
Period6/21/176/24/17

Keywords

  • Information extraction
  • Natural language processing
  • Neural network models

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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