Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
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MRI images can be converted into graphs that GNNs use to classify progression of Alzheimer's Disease.
“MRI images can be converted into graphs that GNNs are applied to for classifying the progression of Alzheimer’s Disease [195, 196, 197].”
From Graph representation learning in biomedicine and healthcare (2022) · cites this paper as [197]
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References 26 · Cited by 41
Research works printed but not linked: 2
- [19]Veličković, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y.: Graph attention networks. In: ICLR (2018)
- [23]Zhang, Y., Chen, R., Tang, J., Stewart, W.F., Sun, J.: LEAP: learning to prescribe effective and safe treatment combinations for multimorbidity. In: Proceedings of the 23rd ACM SIGKDD, pp. 1315–1324. ACM (2017)
- Authors
- Kwak, H., Lee, M., Yoon, S., Chang, J., Park, S., & Jung, K.
- Affiliations
- Seoul National University (KR)
- Corresponding author
- Jung, Kyomin
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 633-644
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- PMC
- PMC7206286
- OpenAlex
- W3021857949
- Cited by
- 41
- References
- 26
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 4 · 2023: 9 · 2022: 5 · 2021: 1 · 2020: 4
- FWCI
- 23.91
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- PubMed Central (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Research Foundation
- Seoul National University
- National Research Foundation of Korea (2016R1A2B2009759)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- adverse drug reactions, graph neural networks, health insurance claims data, clinical data, post-marketing surveillance, drug safety
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