Gaussian Process Regressive Accelerated Gradient Convolutional Deep Belief Neural Classification for Healthcare Data Analytics
DOI:
https://doi.org/10.48047/CU/54/02/3704-3734Keywords:
Healthcare Data Analytics, Convolutional Deep Belief Neural network, Gaussian Process Regression, tversky similarity, Nesterov Accelerated Gradient methodAbstract
Healthcare data analytics involves collecting, analysing, and interpreting
healthcare-related data to improve patient outcomes and decision-making about patient
care, treatment plans, and disease management within healthcare organisations. Early
detection and effective Healthcare data analytics are crucial for preventing complications
and enhancing outcomes in individuals affected by the disease. Numerous machinelearning methods have been developed to address heart problems. However, achieving
higher accuracy in Healthcare data analytics with minimal time and space complexity
remains challenging
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