Big Data: A Revolution That Will Transform How We Live, Work, and Think
Viktor Mayer-Schonberger,Kenneth Cukier
Book guide and evaluation
Ashish Khanna (editor),Deepak Gupta (editor),Nilanjan Dey (editor)
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Introduction In the swiftly evolving landscape of digital healthcare, 'Applications of Big Data in Healthcare: Theory and Practice' stands as a crucial text for professionals, researchers, and students aiming to delve into the impactful fusion of big data analytics and healthc
Before you read
In the swiftly evolving landscape of digital healthcare, 'Applications of Big Data in Healthcare: Theory and Practice' stands as a crucial text for professionals, researchers, and students aiming to delve into the impactful fusion of big data analytics and healthcare. Authored by Ashish Khanna, Deepak Gupta, and Nilanjan Dey, the book acts as a comprehensive guide that explores the theoretical frameworks and practical applications of big data technologies in the healthcare domain.
This book methodically details how big data is revolutionizing healthcare, affecting everything from patient care to administrative procedures. It starts by introducing readers to the foundational concepts of big data, including data acquisition, storage, and processing techniques. The authors explore various data-driven applications and models that enhance clinical practices, improve patient outcomes, and streamline healthcare operations.
The book dives into topics such as predictive analytics, precision medicine, and patient monitoring systems, showcasing real-world applications that harness the power of big data for decision-making and strategic planning. It also covers advanced data analytics tools and technologies, including machine learning and AI, that are crucial in interpreting complex datasets typical of modern healthcare environments.
“In healthcare, data is not just about numbers; it’s about people’s lives.”
“Data-driven insights have the profound potential to transform patient care and efficiency in medical practices.”
As the healthcare sector globally grapples with issues of quality care alongside cost efficiency, this book presents a pivotal resource offering both theoretical knowledge and practical insights. The application of big data in healthcare is simply not a luxury but a necessity, as it empowers stakeholders at every level to make informed, data-driven decisions that enhance healthcare delivery and patient satisfaction.
This book provides an essential bridge connecting the dots between technological advances and healthcare practices. The editors and contributors, who are experts in the field, offer valuable perspectives and methodologies that can be directly applied to continually evolving real-world healthcare issues.
Whether you are a data scientist, healthcare professional, policymaker, or academic, this book equips you with the current trends, methodologies, and futuristic approaches in big data applications, preparing you to face the challenges and embrace the opportunities in the burgeoning field of digital healthcare.
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