Hybrid deep learning model for multimodal vocal and lung signal analysis in health monitoring.

Statistical significance testing yielded a p-value < 0.001, demonstrating highly significant performance with an accuracy of 92% in classifying 6 voice pathological conditions and an accuracy of 98% in classifying 3 lung pathological conditions.

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