Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data

Heeyoung Kwak
Heeyoung Kwak
Minwoo Lee
Minwoo Lee
Jooyoung Chang
Jooyoung Chang
Sangmin Park
Sangmin Park

pacific-asia conference on knowledge discovery and data mining, pp. 633-644, 2020.

Cited by: 0|Bibtex|Views8|DOI:https://doi.org/10.1007/978-3-030-47436-2_48
Other Links: arxiv.org|academic.microsoft.com

Abstract:

Adverse Drug Reaction (ADR) is a significant public health concern world-wide. Numerous graph-based methods have been applied to biomedical graphs for predicting ADRs in pre-marketing phases. ADR detection in post-market surveillance is no less important than pre-marketing assessment, and ADR detection with large-scale clinical data have ...More

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