Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

The results show that STGCN-ViT corrects a statistically significant number of classification errors made by CNN and transformer-based models, with all CNN comparisons generating highly significant p -values ( p < 0.001).

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