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Author: Ewen Harrison
Publisher: CRC Press
ISBN: 1000226166
Category : Medical
Languages : en
Pages : 358
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Book Description
In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands – Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years’ combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.
Author: Ewen Harrison
Publisher: CRC Press
ISBN: 1000226166
Category : Medical
Languages : en
Pages : 358
Get Book Here
Book Description
In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands – Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years’ combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Reza Lashgari
Publisher: Frontiers Media SA
ISBN: 2889766012
Category : Medical
Languages : en
Pages : 1029
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Book Description
Author: Mohamed Alloghani
Publisher: Springer Nature
ISBN: 3030922456
Category : Technology & Engineering
Languages : en
Pages : 258
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Book Description
This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Author: Neeraj Mohan
Publisher: CRC Press
ISBN: 1000460541
Category : Technology & Engineering
Languages : en
Pages : 297
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Book Description
This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.
Author: Moutinho, Luiz
Publisher: IGI Global
ISBN: 1668495937
Category : Computers
Languages : en
Pages : 461
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Book Description
The early 2020s have been marked by a surge of interest in artificial intelligence (AI), and it has grown to be one of the hottest topics in computer science, business technology research, and educational technologies. Despite AI winters in the 1970s and 1990s, where interest and subsequently adequate funding for AI research ceased, and as the technology and its usefulness become more perceptible, often with brilliant results, society is once again ready to investigate this powerful technology and its potential. However, a challenge arises when AI is called into question in an ethical context. It is important that we explore how it can contribute to the resolution of ethical, social, and environmental issues and also to address growing concerns around AI developing emergent bias as well as the human application of AI for malicious purposes. With recent AI-based writing technologies, concerns around academic integrity abound and challenge our perceptions of authenticity in writing. A careful assessment of these technologies, their usefulness and potential harm, and strategic solutions to maintaining ethical standards and regulation of the technology is a necessity for the maintenance of civilized life amidst these tools. Philosophy of Artificial Intelligence and Its Place in Society evaluates various aspects of artificial intelligence including the range of technologies, their advantages and disadvantages, and how AI systems operate. Spanning from machine learning to deep learning, philosophical insights, societal concerns, and the newest approaches to AI, it helps to develop an appreciation for and breadth of knowledge across the full range of AI sub-disciplines including neural networks, evolutionary computation, computer vision, robotics, expert systems, speech processing, and natural language processing. Led Dr. Luiz Moutinho of the University of Suffolk in the United Kingdom, who has won several awards for his academic literature, this book provides academic market-scholars; researchers and students of philosophy, sociology, economics, and education; as well as corporate scientists with a comprehensive collection of core research elements, concepts, advances, applications, evidence, and outcomes related to artificial intelligence.
Author: Ambreen Hamadani
Publisher: Elsevier
ISBN: 0443240000
Category : Computers
Languages : en
Pages : 370
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Book Description
A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence
Author: Carlo Secchi
Publisher: Ledizioni
ISBN: 8855267914
Category : Political Science
Languages : en
Pages : 237
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Book Description
In today's tumultuous and fast-changing times, digitalisation and technology are game changers in a wide range of sectors and have a tremendous impact on infrastructure. Roads, railways, electricity grids, aviation, and maritime transport are deeply affected by the digital and technological transition, with gains in terms of competitiveness, cost-reduction, and safety. Digitalisation is also a key tool for fostering global commitment towards sustainability, but the race for digital infrastructure is also a geopolitical one. As the world's largest economies are starting to adopt competitive strategies, a level playing field appears far from being agreed upon. Why are digitalisation and technology the core domains of global geopolitical competition? How are they changing the way infrastructure is built, operated, and maintained? To what extent will road, rail, air, and maritime transport change by virtue of digitalisation, artificial intelligence, and the Internet of Things? How to enhance cyber protection for critical infrastructure? What are the EU's, US' and China's digital strategies?
Author: Atefeh Abedini
Publisher: Frontiers Media SA
ISBN: 2832545467
Category : Science
Languages : en
Pages : 1002
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Book Description
Author: Hanneke Kip
Publisher: Taylor & Francis
ISBN: 1040026044
Category : Psychology
Languages : en
Pages : 341
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Book Description
This is the first book to provide a comprehensive overview of the multidisciplinary domain of eHealth – one of the most important recent developments in healthcare. It provides an overview of the possibilities of eHealth for different healthcare sectors, an outline of theoretical underpinnings and effectiveness, and key models, frameworks and methods for its development, implementation, and evaluation. This fully revised second edition brings together up-to-date knowledge on eHealth and includes several new chapters and sections on important topics such as implementation, human-centred design, healthcare systems, and evaluation methods. The first part of this book is focused on the underpinnings of eHealth, and consists of chapters on behaviour change, the possibilities of technology for healthcare systems, and the current state of affairs of eHealth for mental and public health. In the second part, chapters on development, implementation, and evaluation of eHealth are provided, presenting methods, theories and frameworks from disciplines such as human-centred design, engineering, psychology, business modelling, and implementation science. By drawing together expertise from different disciplines, the book offers a holistic approach to the use of technology to support health and wellbeing, giving readers an insight into how eHealth can offer multiple solutions for the major challenges with which our healthcare system is faced. Case studies, learning objectives, end of chapter summaries, and a list of key terms, make this accessible book very suitable for students, as well as researchers and healthcare professionals. Due to its multidisciplinary nature, it can be used by readers from a broad range of fields, such as psychology, health sciences, and human-centred design.
