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Demonstrates improved disease prediction in healthcare, suggesting better patient outcomes through AI integration.
This study explores the transformative impact of predictive analytics in healthcare, focusing on the integrationof artificial intelligence (AI) and machine learning (ML) techniques for early disease detection and personalizedtreatment. By analyzing structured and unstructured data from electronic health records (EHRs), medicalimaging, and genomic sources, the study evaluates various AI/ML models including logistic regression, decisiontrees, neural networks, and deep learning frameworks.
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Jog et al. (2025) studied this question.
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