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data science and predictive analytics biomedical and health applications using r pdf

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Data science and predictive analytics in biomedical and health applications involve using the programming language R to analyze large datasets and make predictions about health outcomes. This field combines statistical analysis, machine learning algorithms, and data visualization techniques to extract insights from medical data, such as patient records, genetic information, and clinical trial results. By applying these methods, researchers and healthcare professionals can identify patterns, trends, and risk factors that can inform treatment dec


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