MedGCN: An IoT-edge thrombus graph convolutional network for accurate prediction and prescription diagnosis of vascular occlusive diseases from unstructured clinical reports.
Fei GaoZhifeng XiaoShuo ChenRicheng YuXiaorong LiPublished in: Comput. Commun. (2024)
Keyphrases
- clinically relevant
- disease diagnosis
- cardiovascular disease
- diagnostic process
- weighted graph
- clinical diagnosis
- structured data
- convolutional network
- traditional chinese medicine
- convolutional neural networks
- medical doctors
- coronary artery
- heart disease
- blood vessels
- edge information
- medical diagnosis
- edge detection
- object recognition
- retinal images
- edge detector
- information extraction
- multiresolution