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  • Managing Sensitive Health Data Through Federated Learning and Generative AI: Privacy Preserving Techniques

    The digital transformation of healthcare has generated vast amounts of sensitive data, from electronic health records and medical images to continuous signals from wearable devices. While this data holds immense promise for advancing precision medicine and clinical research, its sensitive nature raises pressing concerns about privacy, security, and regulatory compliance. Traditional centralized ... Leer más

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  • Revolutionizing Healthcare 5.0: The Power of Generative AI

    Advancements in Patient Care Through Generative AI Algorithms

    Series series Medicine (R0)
    This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms ... Leer más

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  • Application of Generative AI in Healthcare Systems

    Edición de Azadeh Zamanifar, Miad Faezipour ...
    Series series Computer Science (R0)
    Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image ... Leer más

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  • Edge-AI in Healthcare

    Trends and Future Perspectives

    Series series Edge AI in Future Computing
    The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data.Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to ... Leer más

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  • Machine Learning and Deep Learning Strategies for AI

    Artificial Intelligence (AI) has emerged as one of the most transformative forces of the 21st century. Among its many branches, machine learning (ML) and deep learning (DL) stand out as key drivers of this transformation. Their ability to learn from data, identify hidden patterns, and make accurate predictions has opened unprecedented opportunities for growth and innovation across fields such as ... Leer más

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  • AI Model Design and Data Management for Disease Prediction

    Edición de Anandhavalli Muniasamy ...
    The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and ... Leer más

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  • Healthcare and Knowledge Management for Society 5.0

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    Series series Demystifying Technologies for Computational Excellence
    Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by practitioners in this area. It also covers the work to be done in the healthcare sector and the use of different computing techniques for better insight and decision-making.Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations showcases the benefits of ... Leer más

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  • Advanced Analytics and Deep Learning Models

    Series series Next Generation Computing and Communication Engineering
    Advanced Analytics and Deep Learning ModelsThe book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc.Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data ... Leer más

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  • The Convergence of Federated Learning and Healthcare 5.0 and Beyond: A New Era of Intelligent Health Systems

    Series series Intelligent Technologies and Robotics (R0)
    This book introduces a novel integration of Federated Learning with the vision of Healthcare 5.0 to enable secure, adaptive, and intelligent health systems. It presents cutting-edge frameworks that support decentralized model training across medical institutions while preserving patient privacy and ensuring compliance with data regulations.Focusing on real-world use cases, such as predictive ... Leer más

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  • Machine Learning Algorithms Using Scikit and TensorFlow Environments

    Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, ... Leer más

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  • Proceedings of International Conference on AI Systems and Sustainable Technologies

    ASSET 2025, Volume 2

    Series series Springer Nature Proceedings excluding Computer Science
    This book includes high-quality research papers presented at the International Conference on AI Systems and Sustainable Technologies (ASSET 2025), organized by the Department of Computer Science and Information Technology, School of CS and IT at IIS (deemed to be University), Jaipur, India, during 28–29 March 2025. It covers the state-of-the-art in AI and ML applications across diverse domains. It ... Leer más

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  • Proceedings of Data Analytics and Management

    ICDAM 2025, Volume 2

    Series series Springer Nature Proceedings excluding Computer Science
    This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK, during June 2025. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, ... Leer más

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