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Academic Press Applications of Big Data in Healthcare: Theory and Practice

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Description

Applications of Big Data in Healthcare: Theory and Practice provides a comprehensive introduction to Big Data analysis fundamentals and the essential tools, processes and procedures needed for healthcare analytics. This book bridges healthcare challenges with Big Data solutions, addressing critical industry problems including data capturing, storage, searching, sharing and analysis. The authors examine real-world obstacles faced by healthcare organisations and present practical approaches to overcome them, with particular focus on data representation and implementation strategies. Designed for healthcare professionals and biomedical engineers, this Academic Press publication combines theoretical foundations with practical applications to help readers understand how Big Data technologies can transform healthcare delivery and improve patient outcomes through better data management and analytical insights.

Key Features

Introduces Big Data analysis basics alongside healthcare-specific tools and processes needed for modern medical analytics.

Addresses core healthcare challenges including data capturing, storage, searching, sharing and analysis with proven solutions.

Covers practical applications of Big Data in healthcare with emphasis on data representation and implementation strategies.

Bridges theory and practice for healthcare professionals and biomedical engineers seeking to apply Big Data technologies.

Published by Academic Press with structured content progressing from foundational concepts to advanced healthcare applications.

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