Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics Book

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics


  • Author : Pradeep N
  • Publisher : Elsevier
  • Release Date : 2021-06-14
  • Genre: Science
  • Pages : 372
  • ISBN 10 : 9780128216330
  • Total Read : 67
  • File Size : 16,7 Mb

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Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics 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 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 Book

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics


  • Author : Pradeep N
  • Publisher : Academic Press
  • Release Date : 2021-06-25
  • Genre: Science
  • Pages : 372
  • ISBN 10 : 9780128220443
  • Total Read : 85
  • File Size : 6,9 Mb

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Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics 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 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 and Machine Learning for Healthcare Book

Demystifying Big Data and Machine Learning for Healthcare


  • Author : Prashant Natarajan
  • Publisher : CRC Press
  • Release Date : 2017-02-15
  • Genre: Medical
  • Pages : 233
  • ISBN 10 : 9781315389301
  • Total Read : 72
  • File Size : 5,9 Mb

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Demystifying Big Data and Machine Learning for Healthcare 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 to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Computational Intelligence in Robotics and Automation Book

Computational Intelligence in Robotics and Automation


  • Author : S.S Nandhini
  • Publisher : CRC Press
  • Release Date : 2022-09-29
  • Genre: Technology & Engineering
  • Pages : 284
  • ISBN 10 : 9781000686517
  • Total Read : 93
  • File Size : 8,6 Mb

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Computational Intelligence in Robotics and Automation Summary:

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications. The book: Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical Imaging Discusses intelligent robotics applications with the integration of automation and artificial intelligence Covers foundations of the mathematical concepts applied in robotics and industry automation applications Provides application of artificial intelligence (AI) in the area of computational intelligence The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

Digital Health Transformation with Blockchain and Artificial Intelligence Book

Digital Health Transformation with Blockchain and Artificial Intelligence


  • Author : Chinmay Chakraborty
  • Publisher : CRC Press
  • Release Date : 2022-05-11
  • Genre: Technology & Engineering
  • Pages : 368
  • ISBN 10 : 9781000580945
  • Total Read : 75
  • File Size : 6,7 Mb

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Digital Health Transformation with Blockchain and Artificial Intelligence Summary:

The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "D

Emerging Technologies in Healthcare Book

Emerging Technologies in Healthcare


  • Author : Matthew N. O. Sadiku
  • Publisher : AuthorHouse
  • Release Date : 2021-10-05
  • Genre: Medical
  • Pages : 316
  • ISBN 10 : 9781665528429
  • Total Read : 84
  • File Size : 14,7 Mb

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Emerging Technologies in Healthcare Summary:

Health is regarded as one of the global challenges for mankind. Healthcare is a complex system that covers processes of diagnosis, treatment, and prevention of diseases. It constitutes a fundamental pillar of the modern society. Modern healthcare is technological healthcare. Technology is everywhere. This book focuses on twenty-one emerging technologies in the healthcare industry. An emerging technology is one that holds the promise of creating a new economic engine and is trans-industrial. Emerging technological trends are rapidly transforming businesses in general and healthcare in particular in ways that we find hard to imagine. Artificial intelligence (AI), machine learning, robots, blockchain, cloud computing, Internet of things (IoT), and augmented & virtual reality are some of the technologies at the heart of this revolution and are covered in this book. The convergence of these technologies is upon us and will have a huge impact on the patient experience

Traits of Civilization and Voice Disorders Book

Traits of Civilization and Voice Disorders


  • Author : Abdul-Latif Hamdan
  • Publisher : Springer Nature
  • Release Date : 2022
  • Genre: Electronic books
  • Pages : 204
  • ISBN 10 : 9783031157509
  • Total Read : 81
  • File Size : 8,6 Mb

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Traits of Civilization and Voice Disorders Summary:

This book reviews the interface between the traits of civilization and voice. It addresses concepts such as where the human voice stands in society and what the impact of civilization is on voice as a means of communication across diverse cultures, social hierarchies, and religious practices. Understanding voice disorders in the context of civilization traits and changes, and analyzing the impact of those traits is invaluable for otolaryngologists, speech language pathologists, voice teachers and others engaged in the diagnosis, treatment and/or training of patients with dysphonia. The book highlights cross-cultural variations in voice acoustics and self-perceived dysphonia, and the impact of religious observance on voice. This information is crucial in differentiating the normal voice from the abnormal, given differences associated with various civilizations and cultures. Traits of Civilization and Voice Disorders provides a far-reaching perspective on the interface between the human voice and its surroundings; as a result, this book is situated as an invaluable resource for otolaryngologists, speech language pathologists, and voice teachers in the diagnosis, treatment and training of patients with voice disorders.--

Demystifying AI for the Enterprise Book

Demystifying AI for the Enterprise


  • Author : Prashant Natarajan
  • Publisher : CRC Press
  • Release Date : 2021-12-31
  • Genre: Computers
  • Pages : 434
  • ISBN 10 : 9781351032926
  • Total Read : 72
  • File Size : 16,7 Mb

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Demystifying AI for the Enterprise Summary:

Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.