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Healthcare Analytics Made Simple

DescriptionIn recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics;

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Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Artificial Intelligence and Big Data Analytics for Smart Healthcare

emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data;

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Machine Learning and Analytics in Healthcare Systems

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It;

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Big Data Analytics

and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.;

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Machine Learning and AI for Healthcare

This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world;

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Healthcare Data Analytics and Management

of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the;

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Machine Learning in Healthcare

Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It;

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Big Data and Artificial Intelligence for Healthcare Applications

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;

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Machine Learning for Healthcare Analytics Projects

Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learn Key Features Develop a range of healthcare;

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Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to;

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Innovation in Health Informatics

, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies;

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type;

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Neural Information Processing

cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The;

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Neural Information Processing

cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The;

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Meta-Analytics

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;

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Big Data Analytics for Cyber-Physical Systems

, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the;

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Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;

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Smart Healthcare Systems

related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing;

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Intelligent Systems

This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Analytics, Data Science, & Artificial Intelligence

technologies, including AI, machine-learning, robotics, chatbots, and IoT.;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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