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Big Data and Predictive Analytics in Preventive Healthcare
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Zitationen
1
Autoren
2025
Jahr
Abstract
Big data and predictive analytics are transforming preventive healthcare by enabling early detection of diseases, improving health monitoring, and optimizing public health strategies. By leveraging artificial intelligence (AI), machine learning (ML), and big data analytics, healthcare providers can predict health risks, customize preventive interventions, and enhance patient outcomes. This paper explores the role of big data and predictive analytics in preventive healthcare, covering key applications such as AI-driven risk assessment, personalized preventive medicine, and real-time health monitoring. Additionally, challenges such as data privacy concerns, integration with legacy systems, and biases in AI-driven health predictions are discussed, along with emerging trends in predictive healthcare analytics
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