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Machine Learning, Big Data, and IoT: Transforming Medical Informatics with Intelligent Data

Jese Leos
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Published in Machine Learning Big Data And IoT For Medical Informatics (Intelligent Data Centric Systems)
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In the rapidly evolving world of healthcare, the convergence of machine learning, big data, and the Internet of Things (IoT) is revolutionizing medical informatics. These technologies are enabling the development of intelligent data systems that can unlock unprecedented insights into patient data, improve disease diagnosis and prognosis, and empower personalized precision medicine.

Machine Learning Big Data and IoT for Medical Informatics (Intelligent Data Centric Systems)
Machine Learning, Big Data, and IoT for Medical Informatics (Intelligent Data-Centric Systems)
by Christoffer Petersen

4.7 out of 5

Language : English
File size : 52740 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 834 pages

Our groundbreaking book, "Machine Learning, Big Data, and IoT for Medical Informatics: Intelligent Data for Healthcare," provides a comprehensive guide to this transformative field. Written by leading experts, the book offers a deep dive into the theoretical foundations, practical applications, and ethical considerations of these technologies in medical informatics.

Key Features

  • Comprehensive Coverage: Explores the full spectrum of topics, from foundational concepts to cutting-edge research and industry trends.
  • Real-World Examples: Showcases practical applications of machine learning, big data, and IoT in medical settings, including disease diagnosis, drug discovery, and personalized treatment.
  • Expert Contributors: Features contributions from renowned researchers and industry leaders, ensuring the highest level of accuracy and expertise.
  • Ethical Considerations: Addresses the ethical and legal implications of using these technologies in healthcare, promoting responsible and trustworthy applications.

Benefits for Readers

By reading this book, you will gain a thorough understanding of:

  • The principles and algorithms of machine learning, big data, and IoT in medical informatics
  • How to design, implement, and evaluate intelligent data systems for healthcare
  • The challenges and opportunities of using these technologies in clinical practice
  • The ethical considerations surrounding the use of AI in healthcare

Who Should Read This Book?

This book is essential reading for:

  • Healthcare professionals, including physicians, nurses, and researchers
  • Data scientists and engineers working in healthcare
  • Students and researchers in medical informatics and related fields
  • Policymakers and regulators interested in the ethical and legal aspects of AI in healthcare

"Machine Learning, Big Data, and IoT for Medical Informatics: Intelligent Data for Healthcare" is an invaluable resource for anyone looking to harness the power of these transformative technologies to improve patient care and advance the field of medicine. Free Download your copy today and unlock the future of healthcare with intelligent data.

Machine Learning Big Data and IoT for Medical Informatics (Intelligent Data Centric Systems)
Machine Learning, Big Data, and IoT for Medical Informatics (Intelligent Data-Centric Systems)
by Christoffer Petersen

4.7 out of 5

Language : English
File size : 52740 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 834 pages
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The book was found!
Machine Learning Big Data and IoT for Medical Informatics (Intelligent Data Centric Systems)
Machine Learning, Big Data, and IoT for Medical Informatics (Intelligent Data-Centric Systems)
by Christoffer Petersen

4.7 out of 5

Language : English
File size : 52740 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 834 pages
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