Nobutoshi Nawa, Takeo Fujiwara
Association between social capital and second dose of measles vaccination in Japan: Results from the A-CHILD study
Vaccine
schizophrenia sz prevalent mental disorder imposes significant health burdens diagnostic accuracy remains challenging due clinical subjectivity address issue explore magnetic resonance imaging mri tool enhance sz diagnosis provide objective references biomarkers using deep learning graph convolution represent mri data graphs aligning brain structure improving feature extraction classification integration multiple modalities expected enhance classification study enrolled 683 sz patients 606 healthy controls 7 hospitals collecting structural mri functional mri data data types represented graphs processed 2 graph attention networks fused classification gradcam graph convolution ensured interpretability partial least squares analyzed gene expression brain regions method excelled classification task achieving 8332 accuracy 8341 sensitivity 8320 specificity 10fold crossvalidation surpassing traditional methods multimodal approach outperformed unimodal methods gradcam identified potential brain biomarkers consistent gene analysis prior research study demonstrates effectiveness deep learning graph attention networks surpassing previous sz diagnostic methods multimodal mris superiority unimodal mri confirms initial hypothesis identifying potential brain biomarkers alongside gene biomarkers holds promise advancing objective sz diagnosis research sz