Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare is a comprehensive guide that combines insights from emerging technologies to enhance healthcare value and sustainability. It covers big data infrastructure, signal processing, business analytics, emerging tools, and challenges, aiming to facilitate collaborations between practitioners and researchers.

\n Format: Paperback / softback
\n Length: 290 pages
\n Publication date: 22 October 2021
\n Publisher: Elsevier Science Publishing Co Inc
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a comprehensive and invaluable resource for practitioners and experts in the healthcare field, empowering them to drive transformative advancements and create more sustainable healthcare systems. By harnessing emerging sophisticated information and communication technologies, including big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and more, the book offers a deep understanding of their current and potential applications. Through a comprehensive exploration of their applications, the book sheds light on the managerial and policymaking challenges they present.

The book is organized into five distinct sections, each dedicated to exploring key aspects of smart healthcare. The first section, "Big Data Infrastructure," delves into the foundational elements required to support the effective management and analysis of large healthcare datasets. It covers topics such as data storage, processing, and visualization, emphasizing the importance of building robust infrastructure to facilitate data-driven decision-making.

The second section, "Framework and Design for Smart Healthcare," explores the architectural frameworks and design principles necessary for developing intelligent healthcare systems. It discusses the integration of various technologies, such as cloud computing, blockchain, and the Internet of Things (IoT), to create seamless and interoperable healthcare environments.

The third section, "Signal Processing Techniques for Smart Healthcare Applications," focuses on leveraging signal processing techniques to extract valuable insights from healthcare data. It covers topics such as pattern recognition, machine learning algorithms, and data mining, enabling healthcare professionals to identify patterns, predict outcomes, and make informed decisions.

The fourth section, "Business Analytics (Descriptive, Diagnostic, Predictive, and Prescriptive) for Smart Healthcare," explores the application of business analytics in the healthcare domain. It discusses the use of descriptive analytics to gain a better understanding of historical data, diagnostic analytics to identify potential health risks, predictive analytics to forecast future trends, and prescriptive analytics to optimize healthcare operations.

The fifth section, "Emerging Tools and Techniques for Smart Healthcare," showcases the latest tools and techniques emerging in the field of smart healthcare. It covers areas such as natural language processing, computer vision, and virtual reality, enabling healthcare providers to deliver personalized and efficient care to patients.

In addition to its technical content, the book is carefully designed to be accessible and understandable to a diverse range of healthcare professionals, including researchers, practitioners, policymakers, and students. It fosters collaborations between healthcare practitioners and researchers, promoting the exchange of ideas and fostering innovation in the field.

Overall, Artificial Intelligence and Big Data Analytics for Smart Healthcare is a vital resource for anyone seeking to advance the healthcare industry and improve patient outcomes. By leveraging the power of advanced technologies and analytical techniques, the book empowers healthcare professionals to make data-driven decisions, optimize healthcare operations, and deliver high-quality care to patients.

\n Weight: 636g\n
Dimension: 219 x 234 x 19 (mm)\n
ISBN-13: 9780128220603\n \n