Multi-Context Mining-Based Graph Neural Network for Predicting Emerging Health Risks
Patients with similar diseases are able to have similar treatments, care, symptoms, and causes. Based on these relations, it is possible to predict latent risks. Therefore, this study proposes Graph Neural Network-based Multi-Context mining for predicting emerging health risks. The proposed method f...
Main Authors: | Ji-Won Baek, Kyungyong Chung |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10041148/ |
Similar Items
-
Knowledge Graph Double Interaction Graph Neural Network for Recommendation Algorithm
by: Shuang Kang, et al.
Published: (2022-12-01) -
Graph Neural Network Recommendation Model Integrating User Preferences
by: XIONG Zhong-min, SHU Gui-wen, GUO Huai-yu
Published: (2022-06-01) -
Knowledge graph and data application:intelligent recommendation
by: Jing ZHOU, et al.
Published: (2019-08-01) -
Knowledge graph and data application:intelligent recommendation
by: Jing ZHOU, et al.
Published: (2019-08-01) -
Graph contrast learning for recommendation based on relational graph convolutional neural network
by: Xiaoyang Liu, et al.
Published: (2024-10-01)