Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms

The accurate diagnosis of schizophrenia spectrum disorder plays an important role in improving patient outcomes, enabling timely interventions, and optimizing treatment plans. Functional connectivity analysis, utilizing functional magnetic resonance imaging data, has been demonstrated to offer inval...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2024-12, Vol.257, p.108419, Article 108419
Hauptverfasser:	Wang, Shurun, Tang, Hao, Himeno, Ryutaro, Solé-Casals, Jordi, Caiafa, Cesar F., Han, Shuning, Aoki, Shigeki, Sun, Zhe
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Brain - diagnostic imaging Brain - physiopathology Brain functional connectivity Deep Learning Evolutionary algorithm Female Graph neural architecture search Graph neural network Humans Machine Learning Magnetic Resonance Imaging - methods Male Neural Networks, Computer Schizophrenia - diagnosis Schizophrenia - diagnostic imaging Schizophrenia - physiopathology Schizophrenia spectrum disorder
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