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This document discusses the development of a stroke prediction model using neural networks, emphasizing the importance of machine learning in healthcare for early detection and prevention of strokes. It outlines the challenges of existing systems, proposes a novel Hybrid Deep Transfer Learning-based Stroke Risk Prediction framework, and highlights the role of data science and artificial intelligence in improving predictive accuracy. The paper also details the methodology for dataset preparation, data wrangl

Author

Greensoft Groups

Language

EN