MDEFusion: A Multi‐Domain EEG Feature Fusion Network With Bidirectional Attention LSTM and Half‐Split Crossover SAE for Schizophrenia Recognition

Key Points

• This research aims to develop an EEG analysis tool for the auxiliary diagnosis of schizophrenia.
• Developed a multi-domain EEG feature fusion network.
• Utilized bidirectional attention LSTM and half-split crossover SAE.
• Assessed clinical decision support effectiveness in schizophrenia recognition.
• Demonstrated significant accuracy in recognizing schizophrenia through EEG analysis.
• Enhanced reliability of clinical decision-making processes for schizophrenia diagnosis.