Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics

Written By Pradeep N
Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics
  • Publsiher : Academic Press
  • Release : 25 June 2021
  • ISBN : 0128220449
  • Pages : 372 pages
  • Rating : /5 from reviews
GET THIS BOOKDemystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics


Download or read book entitled Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics by author: Pradeep N which was release on 25 June 2021 and published by Academic Press with total page 372 pages . This book available in PDF, EPUB and Kindle Format. Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics

Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics
  • Author : Pradeep N,Sandeep Kautish,Sheng-Lung Peng
  • Publisher : Academic Press
  • Release Date : 2021-06-25
  • Total pages : 372
  • ISBN : 0128220449
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Summary : Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help ...

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
  • Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
  • Publisher : CRC Press
  • Release Date : 2017-02-15
  • Total pages : 210
  • ISBN : 0128220449
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Summary : Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability ...

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
  • Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
  • Publisher : CRC Press
  • Release Date : 2017-02-15
  • Total pages : 210
  • ISBN : 0128220449
GET BOOK

Summary : Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability ...

Generative Adversarial Networks for Image to Image Translation

Generative Adversarial Networks for Image to Image Translation
  • Author : Arun Solanki,Anand Nayyar,Mohd Naved
  • Publisher : Academic Press
  • Release Date : 2021-06-01
  • Total pages : 232
  • ISBN : 0128220449
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Summary : Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based ...

The Digital Twin Paradigm for Smarter Systems and Environments The Industry Use Cases

The Digital Twin Paradigm for Smarter Systems and Environments  The Industry Use Cases
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2020-01-28
  • Total pages : 384
  • ISBN : 0128220449
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Summary : The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing ...