HealthcareLearning – alle Bücher

Sima Das, Parijat Bhowmick, Farshad Arvin
Neural Rehab

In recent years, the integration of cutting-edge technology with healthcare has led to groundbreaking advancements. Deep learning, in particular, has emerged as a revolutionary force, poised to transform …

lieferbar innerhalb 1-2 Wochen

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Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches

Advances in Science, Technology & Innovation

This book discusses how Cloud, Fog, and Edge computing, alongside federated learning and blockchain, are revolutionizing healthcare systems by addressing the challenges of data management, privacy, and ef…

lieferbar innerhalb 2-3 Wochen

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Federated Deep Learning for Healthcare

This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfe…

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Metaverse and AI in Healthcare

Metaverse and AI in Healthcare: A Federated Learning Approach addresses the transformative integration of artificial intelligence and metaverse technologies in healthcare. The book fills a critical gap by…

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Machine Learning and Its Applications to Healthcare

Mathematics for Sustainable Developments

This book offers a comprehensive collection of 35 research contributions on the transformative role of soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and hybrid method…

lieferbar innerhalb 2-3 Wochen

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Transforming Gender-Based Healthcare with AI and Machine Learning

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML). It cov…

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Federated Learning for Neural Disorders in Healthcare 6.0

This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI d…

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Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Signals and Communication Technology

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current…

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Federated Learning Applications in Healthcare

Emerging Trends in Science, Innovation and Business

"Federated Learning Applications in Healthcare: Empowering Wellness" is an ambitious and timely endeavor aimed at providing a comprehensive exploration of the intersection between federated lear…

lieferbar ab 19.1.2027.

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The Role of Machine Learning and Artificial Intelligence in Revolutionizing Healthcare

Revolutionizing Healthcare: The Role of Machine Learning and Artificial Intelligence describes the complexity of healthcare data that necessitates the expanding use of artificial intelligence (AI). This b…

lieferbar ab 1.1.2027.

Buch

Role of Machine Learning in IoT-Cloud Enabled Healthcare

Today, Machine Learning (ML) plays a transformative role in IoT-cloud enabled healthcare by enabling intelligent analysis of real-time patient data collected through wearable devices, sensors, and smart m…

lieferbar ab 17.11.2026.

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

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 suppor…

lieferbar innerhalb 2-3 Wochen

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Ko, Md Tachinardi, Md Kissela
Healthcare That Learns

Healthcare has more evidence, data, and artificial intelligence (AI) than ever. A risk model can flag a patient, a dashboard can reveal a gap, and a guideline can recommend the next step. But if no one ow…

lieferbar ab 1.12.2026.

Buch

Ko, Md Tachinardi, Md Kissela
Healthcare That Learns

Healthcare has more evidence, data, and artificial intelligence (AI) than ever. A risk model can flag a patient, a dashboard can reveal a gap, and a guideline can recommend the next step. But if no one ow…

lieferbar ab 1.12.2026.

Buch

Handbook of Deep Learning Models for Healthcare Data Processing

In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to d…

lieferbar innerhalb 1-2 Wochen

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Mary Regina Boland
Health Analytics with R

This textbook teaches health analytics using examples from the statistical programming language R. It utilizes real-world examples with publicly available datasets from healthcare and direct-to-consumer g…

lieferbar innerhalb 2-3 Wochen

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Machine Learning Methods in Biomedical Field

This book provides an in-depth exploration of machine learning techniques and their biomedical applications, particularly in developing intelligent computer-aided diagnostic systems, creating groundbreaki…

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Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain

Adaptation, Learning, and Optimization - Band 28

Artificial intelligence is transforming the way we live, work, and heal. But true progress depends on more than raw power---it requires systems that are efficient, reliable, and trustworthy.Advances in Ar…

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