Titlebook: Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes; Shashi Kant Gupta,Dimitrios A. Karras,Rajesh Natar Book

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Exploring AI and IoT Integration for Medicine Recommendation with Chimp Optimized Dynamic XGBoost (lood pressure and cholesterol levels. Machine learning algorithms can evaluate real-time data from heart disease patients to prescribe individualized drug regimens using IoT-enabled healthcare technologies. These algorithms ensure accurate and flexible treatment regimens by taking lifestyle characte

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Integrating IoT and AI in Healthcare: A Novel MS-GNN Framework for Disease Diagnosis,a, while the AI suggests insights for decision-making after processing and analyzing the gathered data. The convergence of IoT?with?AI?presents numerous potential applications in healthcare. This research introduces a novel framework for disease diagnosis in intelligent healthcare systems called Mon

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Advancing Glioblastoma Treatment Through AI-Driven Radiomics: A Comparative Study of Feature Selectrequent incidence, need advanced diagnostic techniques for effective treatment. Radiomics is a crucial approach in this field that utilises quantitative analysis of medical pictures. This work conducts a comprehensive comparative assessment of several techniques for selecting relevant features and m

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Prologue

Artificial Intelligence in Personalized Health Services for Better Patient Care,ions to each patient‘s unique traits is essential in the era of precision medicine to improve patient outcomes. The chapter explores how artificial intelligence technologies, through their analysis of large datasets to identify distinctive patterns and trends in patient health, contribute to this pa