Artificial Intelligence and Big Data Analytics for Smart Healthcare Book

Artificial Intelligence and Big Data Analytics for Smart Healthcare


  • Author : Miltiadis Lytras
  • Publisher : Academic Press
  • Release Date : 2021-10-22
  • Genre: Business & Economics
  • Pages : 290
  • ISBN 10 : 9780128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare Excerpt :

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Big Data Analytics and Intelligence Book

Big Data Analytics and Intelligence


  • Author : Poonam Tanwar
  • Publisher : Emerald Group Publishing
  • Release Date : 2020-09-30
  • Genre: Business & Economics
  • Pages : 392
  • ISBN 10 : 9781839090998

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Big Data Analytics and Intelligence Excerpt :

Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Smart Health Systems Book

Smart Health Systems


  • Author : Sonali Vyas
  • Publisher : Springer Nature
  • Release Date : 2021-08-24
  • Genre: Medical
  • Pages : 125
  • ISBN 10 : 9789811642012

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Smart Health Systems Excerpt :

The upcoming trends in healthcare are intended towards improving the overall quality of life. In the past,management of health issues were limited to clinics and hospitals and managing patient’s data and analyzing it. This procedure was difficult and time consuming. A great effort was also needed in diagnosing the cause and type of disease, but this all has changed now. As advancement in research and technologies, a positive impact on healthcare is seen. This book assesses the need and era of smart healthcare and delivers content relevant to current age and time. It describes the trend, usage and practicality of IWMDs i.e. Wearable Medical Device or Sensors (WMSs) and Implantable Medical Devices (IMDs) and how they enhance the awareness of daily healthcare.It establishes a relation and conjunction of daily healthcare monitoring with clinical healthcare. A healthcare system is called smart when there is an ability to make decisions, which comes from data analytics. Smart healthcare systems possess capability of data analytics and IoT based services which can be implemented on smart phones using cloud technology. This book discusses various research trends and technologies related to innovations and advancements for smart healthcare systems. It also elaborates challenges, scope upcoming techniques, devices and future directions for smart healthcare systems.The proposed book would in particular benefit researchers interested in interdisciplinary sciences, It would also be of value to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives.

Smart Healthcare Systems Book
Score: 5
From 1 Ratings

Smart Healthcare Systems


  • Author : Adwitiya Sinha
  • Publisher : CRC Press
  • Release Date : 2019-07-24
  • Genre: Computers
  • Pages : 332
  • ISBN 10 : 9780429670282

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Smart Healthcare Systems Excerpt :

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

AI and Machine Learning Paradigms for Health Monitoring System Book
Score: 5
From 1 Ratings

AI and Machine Learning Paradigms for Health Monitoring System


  • Author : Hasmat Malik
  • Publisher : Springer Nature
  • Release Date : 2021-02-14
  • Genre: Technology & Engineering
  • Pages : 513
  • ISBN 10 : 9789813344129

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AI and Machine Learning Paradigms for Health Monitoring System Excerpt :

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

Innovative Smart Healthcare and Bio Medical Systems Book

Innovative Smart Healthcare and Bio Medical Systems


  • Author : Abdel-Badeeh Salem
  • Publisher : CRC Press
  • Release Date : 2020-12-27
  • Genre: Computers
  • Pages : 258
  • ISBN 10 : 9781000327168

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Innovative Smart Healthcare and Bio Medical Systems Excerpt :

Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT). This book presents models for the deployment of intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care and lowering overall cost. It also discusses the potential role of the AI paradigms, computational intelligence and machine learning techniques which are used in developing the SHS. It will provide examples of potential usage of such technology in smart healthcare and and bio-medical systems. It will be an important read for researchers and professionals working in smart healthcare systems, as well as those working in the individual areas of networks, artificial intelligence and healthcare who want to see how an interdisciplinary approach can enhance the current technology.

Artificial Intelligence and Internet of Things Book

Artificial Intelligence and Internet of Things


  • Author : Lalit Mohan Goyal
  • Publisher : CRC Press
  • Release Date : 2021-08-25
  • Genre: Technology & Engineering
  • Pages : 398
  • ISBN 10 : 9781000386257

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Artificial Intelligence and Internet of Things Excerpt :

This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.

Artificial Intelligence in Healthcare Book

Artificial Intelligence in Healthcare


  • Author : Adam Bohr
  • Publisher : Academic Press
  • Release Date : 2020-06-21
  • Genre: Computers
  • Pages : 378
  • ISBN 10 : 9780128184394

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Artificial Intelligence in Healthcare Excerpt :

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

Implementation of Smart Healthcare Systems using AI  IoT  and Blockchain Book

Implementation of Smart Healthcare Systems using AI IoT and Blockchain


  • Author : Chinmay Chakraborty
  • Publisher : Academic Press
  • Release Date : 2022-09-30
  • Genre: Computers
  • Pages : 299
  • ISBN 10 : 9780323919364

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Implementation of Smart Healthcare Systems using AI IoT and Blockchain Excerpt :

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment Includes AI for predictive and preventive healthcare Describes blockchain for managing healthcare data to provide transparency, security and distributed storage Offers effective remote diagnostics and telemedicine approaches Highlights the importance of gold standard medical datasets for improved modeling and analysis

Machine Learning  Big Data  and IoT for Medical Informatics Book

Machine Learning Big Data and IoT for Medical Informatics


  • Author : Pardeep Kumar
  • Publisher : Academic Press
  • Release Date : 2021-06-13
  • Genre: Computers
  • Pages : 458
  • ISBN 10 : 9780128217818

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Machine Learning Big Data and IoT for Medical Informatics Excerpt :

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. Includes several privacy preservation techniques for medical data. Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. Offers case studies and applications relating to machine learning, big data, and health care analysis.

Knowledge Modelling and Big Data Analytics in Healthcare Book

Knowledge Modelling and Big Data Analytics in Healthcare


  • Author : Mayuri Mehta
  • Publisher : CRC Press
  • Release Date : 2021-12-09
  • Genre: Computers
  • Pages : 362
  • ISBN 10 : 9781000477764

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Knowledge Modelling and Big Data Analytics in Healthcare Excerpt :

Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.

Big Data Analytics for Healthcare Book

Big Data Analytics for Healthcare


  • Author : Pantea Keikhosrokiani
  • Publisher : Academic Press
  • Release Date : 2022-05-19
  • Genre: Business & Economics
  • Pages : 356
  • ISBN 10 : 9780323985161

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Big Data Analytics for Healthcare Excerpt :

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems

Intelligent Internet of Things for Smart Healthcare Systems Book

Intelligent Internet of Things for Smart Healthcare Systems


  • Author : Durgesh Srivastava
  • Publisher : CRC Press
  • Release Date : 2023-02-23
  • Genre: Computers
  • Pages : 269
  • ISBN 10 : 9781000834970

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Intelligent Internet of Things for Smart Healthcare Systems Excerpt :

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included. Features: •Introduces Intelligent IoT as applicable to the key areas of smart healthcare. •Discusses computational intelligence and IoT-based optimizations of smart healthcare systems •Explores effective management of healthcare systems using dedicated IoT-based infrastructures •Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

Machine Learning and the Internet of Medical Things in Healthcare Book

Machine Learning and the Internet of Medical Things in Healthcare


  • Author : Krishna Kant Singh
  • Publisher : Academic Press
  • Release Date : 2021-04-26
  • Genre: Science
  • Pages : 290
  • ISBN 10 : 9780128232170

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Machine Learning and the Internet of Medical Things in Healthcare Excerpt :

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Big Data Analytics and Artificial Intelligence Against COVID 19  Innovation Vision and Approach Book

Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach


  • Author : Aboul-Ella Hassanien
  • Publisher : Springer Nature
  • Release Date : 2020-10-12
  • Genre: Computers
  • Pages : 307
  • ISBN 10 : 9783030552589

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Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach Excerpt :

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.