An enhanced diabetes prediction using an improved hybrid deep learning algorithm with mountain gazelle optimizer

Key Points

• Improved prediction accuracy for diabetes is achieved with the hybrid deep learning algorithm.
• The algorithm utilizes a mountain gazelle optimizer for enhanced performance metrics.
• This approach combines various deep learning techniques to strengthen prediction capabilities.
• Validating results across multiple datasets highlights the algorithm's practicality and robustness.