Mental Disorders Prediction with Heterogeneous Graph Convolutional Network

• Published in: Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics pp. 3165 - 3170
• Main Authors: Lin, Haocai, Pan, Jiacheng, Dong, Yihong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.10.2022
• Subjects: Benchmark testing; disease prediction; Feature extraction; graph convolutional network; heterogeneous network; Hospitals; medical images; Mental disorders; Predictive models; Proposals; Sociology

In the medical imaging field, Computer-Aided Detection (CADe) has greatly benefited from the recent development of Graph Convolutional Networks (GCNs). GCN-based predictive models require building a population graph to detect the disease states of each subject, based on imaging and non-imaging data....