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Enhancing Health Risk Prediction: The Role of AI in Data Collection and Modeling

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AI-driven systems provide personalized risk assessments, improving accuracy and early detection capabilities.
This approach utilizes machine learning and deep learning to adapt and learn from diverse data sources.
Implementation in areas like cardiovascular risk prediction consistently outperforms traditional models.
AI technologies support proactive care models, addressing challenges in data privacy and algorithmic transparency.

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AI enhances predictive modeling and data integration in healthcare, suggesting improved patient outcomes.

Balasubramanian Rengasamy (2025) studied this question.

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