AI-Driven Predictive Analytics for Healthcare: A Machine Learning Approach to Early Disease Detection
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Abstract
The integration of AI in healthcare has the potential to revolutionize early disease detection and personalized treatment. This study presents a machine learning framework for predictive analytics in healthcare, utilizing deep neural networks and ensemble learning techniques. The proposed model is evaluated on real-world patient data, achieving high accuracy in predicting chronic diseases such as diabetes and cardiovascular disorders. The results indicate that AI-driven predictive models can enhance diagnostic accuracy, reduce healthcare costs, and improve patient outcomes.
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References
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