Projects per year
Abstract
An adverse drug event (ADE) is defined as an adverse reaction resulting from improper drug use, reported in various documents such as biomedical literature, drug reviews, and user posts on social media. The recent advances in natural language processing techniques have facilitated automated ADE detection from documents. However, the contextualized information and relations among text pieces are less explored. This paper investigates contextualized language models and heterogeneous graph representations. It builds a contextualized graph embedding model for adverse drug event detection. We employ different convolutional graph neural networks and pre-trained contextualized embeddings as the building blocks. Experimental results show that our methods can improve the performance by comparing recent ADE detection models, suggesting that a text graph can capture causal relationships and dependency between different entities in a document.
Original language | English |
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Title of host publication | Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings |
Subtitle of host publication | European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II |
Editors | Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas |
Publisher | Springer |
Pages | 605–620 |
Number of pages | 16 |
ISBN (Electronic) | 978-3-031-26390-3 |
ISBN (Print) | 978-3-031-26389-7 |
DOIs | |
Publication status | Published - 17 Mar 2023 |
MoE publication type | A4 Conference publication |
Event | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Grenoble, France Duration: 19 Sept 2022 → 23 Sept 2022 https://2022.ecmlpkdd.org/ |
Publication series
Name | Lecture notes in computer science |
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Volume | 13714 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases |
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Abbreviated title | ECML-PKDD |
Country/Territory | France |
City | Grenoble |
Period | 19/09/2022 → 23/09/2022 |
Internet address |
Fingerprint
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INTERVENE: International consortium for integrative genomics prediction
Kaski, S. (Principal investigator)
01/01/2021 → 31/12/2025
Project: EU: Framework programmes funding
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-: Intelligent Crop Production: Data-integrative, Multi-task Learning Meets Crop Simulator
Mamitsuka, H. (Principal investigator), Nariman Zadeh, H. (Project Member), Strahl, J. (Project Member), Guvenc, B. (Project Member), Ji, S. (Project Member), Rissanen, S. (Project Member), Honkamaa, J. (Project Member), Pöllänen, A. (Project Member), Hiremath, S. (Project Member) & Ojala, F. (Project Member)
01/01/2018 → 31/12/2022
Project: Academy of Finland: Other research funding