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Machine learning and analytics in healthcare systems, 


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Название:  Machine learning and analytics in healthcare systems
ISBN: 9780367487935
Издательство: Taylor&Francis
Классификация:









ISBN-10: 0367487934
Обложка/Формат: Hardcover
Страницы: 262
Вес: 0.55 кг.
Дата издания: 01.07.2021
Серия: Green engineering and technology
Язык: English
Иллюстрации: 4 tables, black and white; 80 line drawings, black and white; 45 halftones, black and white; 125 illustrations, black and white
Размер: 23.39 x 15.60 x 1.75 cm
Подзаголовок: Principles and applications
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Поставляется из: Европейский союз
Описание: This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.
Дополнительное описание: Chapter 1 Data Analytics in Healthcare Systems – Principles, Challenges, and ApplicationsChapter 2 Systematic View and Impact of Machine Learning in Healthcare SystemsChapter 3 Foundation of Machine Learning-Based Data Classification Techniques for Health


Artificial intelligence a modern approach: The application in healthcare, industry and more. The fascinating topic of machine learning and prediction

Автор: Baker Chris
Название: Artificial intelligence a modern approach: The application in healthcare, industry and more. The fascinating topic of machine learning and prediction
ISBN: 1914063198 ISBN-13(EAN): 9781914063190
Издательство: Неизвестно
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Цена: 26660.00 T
Наличие на складе: Есть
Описание:

Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..


The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.

Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.


Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.



The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.


Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.


For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.



Here is a preview of what you will learn...

  • Brief history of artificial intelligence
  • The state of art of machine learning
  • Artificial neural networks applied to machine learning
  • How can we build an AI ready culture
  • Our daily lives with AI

And More.....


Advancement of Artificial Intelligence in Healthcare Engineering

Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg
Название: Advancement of Artificial Intelligence in Healthcare Engineering
ISBN: 179982120X ISBN-13(EAN): 9781799821205
Издательство: Mare Nostrum (Eurospan)
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Цена: 264270.00 T
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Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.

Transforming Healthcare with Big Data and AI

Автор: Alex Lui, Anna Farzinder, Mingboo Gong
Название: Transforming Healthcare with Big Data and AI
ISBN: 1641138971 ISBN-13(EAN): 9781641138970
Издательство: Mare Nostrum (Eurospan)
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Цена: 47130.00 T
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Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.

This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics

Автор: O`Neil Bonnie K., Fryman Lowell
Название: The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics
ISBN: 1634627873 ISBN-13(EAN): 9781634627870
Издательство: Gazelle Book Services
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Цена: 57190.00 T
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Описание: Apply this definitive guide to data catalogs and select the feature set needed to empower your data citizens in their quest for faster time to insight. The data catalog may be the most important breakthrough in data management in the last decade, ranking alongside the advent of the data warehouse. The latter enabled business consumers to conduct their own analyses to obtain insights themselves. The data catalog is the next wave of this, empowering business users even further to drastically reduce time to insight, despite the rising tide of data flooding the enterprise. Use this book as a guide to provide a broad overview of the most popular Machine Learning (ML) data catalog products, and perform due diligence using the extensive features list. Consider graphical user interface (GUI) design issues such as layout and navigation, as well as scalability in terms of how the catalog will handle your current and anticipated data and metadata needs. ONeil & Frymanpresent a typology which ranges from products that focus on data lineage, curation and search, data governance, data preparation, and of course, the core capability of finding and understanding the data. The authors emphasize that machine learning is being adopted in many of these products, enabling a more elegant data democratization solution in the face of the burgeoning mountain of data that is engulfing organizations. Derek Strauss, Chairman/CEO, Gavroshe, and Former CDO, TD Ameritrade. This book is organized into three sections: Chapters 1 and 2 reveal the rationale for a data catalog and share how data scientists, data administrators, and curators fare with and without a data catalog; Chapters 3-10 present the many different types of data catalogs; Chapters 11 and 12 provide an extensive features list, current trends, and visions for the future.

Smart Healthcare Analytics in IoT Enabled Environment

Автор: Prasant Kumar Pattnaik
Название: Smart Healthcare Analytics in IoT Enabled Environment
ISBN: 3030375501 ISBN-13(EAN): 9783030375508
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.

Innovation in Health Informatics, A Smart Healthcare Primer

Автор: Lytras and Sarirete
Название: Innovation in Health Informatics, A Smart Healthcare Primer
ISBN: 0128190434 ISBN-13(EAN): 9780128190432
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare.

This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics.


Hbr`s 10 Must Reads on Ai, Analytics, and the New Machine Age (with Bonus Article  "why Every Company Needs an Augmented Reality Strategy " by Michael E

Автор: Review Harvard Business
Название: Hbr`s 10 Must Reads on Ai, Analytics, and the New Machine Age (with Bonus Article "why Every Company Needs an Augmented Reality Strategy " by Michael E
ISBN: 1633696847 ISBN-13(EAN): 9781633696846
Издательство: Неизвестно
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Цена: 22950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Intelligent machines are revolutionizing business.

Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready?

If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them.

In this book you'll learn how:

  • Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights
  • Blockchain has the potential to restructure the economy
  • Drones and driverless vehicles are becoming essential tools
  • 3-D printing is making new business models possible
  • Augmented reality is transforming retail and manufacturing
  • Smart speakers are redefining the rules of marketing
  • Humans and machines are working together to reach new levels of productivity

This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D'Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.


Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

Data Management and Analytics for Medicine and Healthcare

Автор: Fusheng Wang; Lixia Yao; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319577409 ISBN-13(EAN): 9783319577401
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.

Data Management and Analytics for Medicine and Healthcare

Автор: Edmon Begoli; Fusheng Wang; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319671855 ISBN-13(EAN): 9783319671857
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017.

Heterogeneous Data Management, Polystores, and Analytics for Healthcare

Автор: Vijay Gadepally; Timothy Mattson; Michael Stonebra
Название: Heterogeneous Data Management, Polystores, and Analytics for Healthcare
ISBN: 3030337510 ISBN-13(EAN): 9783030337513
Издательство: Springer
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Цена: 54030.00 T
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Описание: This book constitutes the refereed post-conference proceedings for the VLBD conference workshops entitled: Towards Polystores That Manage Multiple Databases, Privacy, Security and/or Policy Issues for Heterogenous Data (Poly 2019) and the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019), held in Los Angeles, CA, USA, in August 2019, in conjunction with the 45th International Conference on Very Large Data Bases, VLDB 2019. The 20 regular papers presented together with 2 keynote papers were carefully reviewed and selected from 31 initial submissions. The papers are organized in topical sections named:Poly 2019: Privacy, Security and/or Policy Issues for Heterogenous Data; Building Polystore Systems.DMAH 2019: Database Enabled Biomedical Research; AI for Healthcare; Knowledge Discovery from Unstructured Biomedical Data; Blockchain and Privacy Preserving Data Management.


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