Blockchain And Deep Learning For Smart Healthcare

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Blockchain And Deep Learning For Smart Healthcare

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Author : Akansha Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2024-01-31

Blockchain And Deep Learning For Smart Healthcare written by Akansha Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.

BLOCKCHAIN and DEEP LEARNING for SMART HEALTHCARE The book discusses the popular use cases and applications of blockchain technology and deep learning in building smart healthcare. The book covers the integration of blockchain technology and deep learning for making smart healthcare systems. Blockchain is used for health record-keeping, clinical trials, patient monitoring, improving safety, displaying information, and transparency. Deep learning is also showing vast potential in the healthcare domain. With the collection of large quantities of patient records and data, and a trend toward personalized treatments. there is a great need for automated and reliable processing and analysis of health information. This book covers the popular use cases and applications of both the above-mentioned technologies in making smart healthcare. Audience Comprises professionals and researchers working in the fields of deep learning, blockchain technology, healthcare & medical informatics. In addition, as the book provides insights into the convergence of deep learning and blockchain technology in healthcare systems and services, medical practitioners as well as healthcare professionals will find this essential reading.

Blockchain And Machine Learning For E Healthcare Systems

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Author : Balusamy Balamurugan
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2020-11-13

Blockchain And Machine Learning For E Healthcare Systems written by Balusamy Balamurugan and has been published by Institution of Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Computers categories.

Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results.

Digital Health Transformation With Blockchain And Artificial Intelligence

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Author : Chinmay Chakraborty
language : en
Publisher: CRC Press
Release Date : 2022-05-10

Digital Health Transformation With Blockchain And Artificial Intelligence written by Chinmay Chakraborty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-10 with Computers categories.

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 "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Smart Healthcare Systems

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Author : Adwitiya Sinha
language : en
Publisher: CRC Press
Release Date : 2019-07-24

Smart Healthcare Systems written by Adwitiya Sinha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Computers categories.

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.

Machine Learning Approaches For Convergence Of Iot And Blockchain

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Author : Krishna Kant Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-10

Machine Learning Approaches For Convergence Of Iot And Blockchain written by Krishna Kant Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-10 with Computers categories.

MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

Artificial Intelligence In Healthcare

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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21

Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.

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

Blockchain In Healthcare

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Author : Taylor & Francis Group
language : en
Publisher: Productivity Press
Release Date : 2021-06-30

Blockchain In Healthcare written by Taylor & Francis Group and has been published by Productivity Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with categories.

Blockchain technology is poised to revolutionize more than just payment and crypto-currency. Many vertical industries will be reshaped by the new trusted data models enabled and inspired by the blockchain - healthcare is no exception. In fact, healthcare may hold the greatest opportunities for meaningful use of the technology. Early pioneers have explored some of the first use cases for medical payments, electronic health records, HIPAA/data privacy, drug counterfeiting, and credentialing of healthcare professionals. We have only begun to scratch the surface in how to automate the complexities of today's healthcare systems and design new systems which focus on trust, transparency and the alignment of incentives. Metcalf, Bass, Dhillon, and Hooper have curated a collection of examples based on the fundamentals of blockchain that build upon the early successes and examples that point to the future. After a brief introduction to bitcoin, blockchain and the protocols available, a getting-started guide is presented specific to health and healthcare. The authors discuss the complexities and possibilities of smart contracts and some of the early consortia that are exploring the possibilities. Examples and use cases are found throughout the book, with specific sections that cover the more sophisticated and far-reaching examples which have the potential to scale at the industry-level. In addition, a discussion of integrating blockchain technology into other advanced healthcare trends and IT systems - such as telemedicine, artificial intelligence, machine learning, the Internet of Things, value-based payments, patient engagement solutions, big data solutions, medical tourism, and precision medicine/genetic therapies among many others are presented. The final section provides a glimpse into the future using blockchain technology and examples of research projects that are still in labs across the globe. The appendices may prove particularly useful for additional details on how to get started, including resources and organizations specifically focusing on blockchain and distributed ledger solutions.

Smart Healthcare And Machine Learning

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Author : Mousmi Ajay Chaurasia
language : en
Publisher: Springer Nature
Release Date : 2024-07-12

Smart Healthcare And Machine Learning written by Mousmi Ajay Chaurasia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Mathematics categories.

The book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and interconnected devices to enhance the quality, efficiency, and accessibility of healthcare services. This involves leveraging Internet of Things (IoT) devices, wearable technology, and machine learning algorithms to monitor patient health, predict medical conditions, and offer personalized treatment recommendations. This innovative combination not only enhances diagnostics and treatment but also addresses the research challenges of healthcare access and delivery in an increasingly connected world. By exploring the synergy between smart healthcare and machine learning, the book helps to understand how these technologies can collaborate to revolutionize patient care and healthcare delivery. This book is an outcome with applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach.

Creating Smart Healthcare With Blockchain And Advanced Digital Technology

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Author : Rishabha Malviya
language : en
Publisher: CRC Press
Release Date : 2025-02-10

Creating Smart Healthcare With Blockchain And Advanced Digital Technology written by Rishabha Malviya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Technology & Engineering categories.

Blockchain in healthcare is a recent breakthrough and is redefining the information architecture that underpins all healthcare services. Blockchain can make health information systems safer, more efficient, more accessible, and more dependable. This new book introduces the basic concepts of blockchain in relation to the healthcare sector and offers solutions for enhanced healthcare services, management, and administration. The book deals with the use of blockchain in remotely monitoring patients, in creating medical contracts, and in enhancing data transmission security in healthcare. It covers the role of blockchain in patient selection and treatment strategies, in tracking diseases and pandemics, in managing supply chains, and in the health insurance sector. Finally, the book also presents the challenges that may occur due to digital transformation and looks at how blockchain technology can transform healthcare in the future. Creating Smart Healthcare with Blockchain and Advanced Digital Technology is a comprehensive book that explores different aspects of blockchain in revolutionizing healthcare. It will be especially useful for researchers, medical personnel, academicians, industrial practitioners, and students in IT and healthcare.

Blockchain And Digital Twin For Smart Healthcare

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Author : Tuan Anh Nguyen
language : en
Publisher: Elsevier
Release Date : 2025-02-15

Blockchain And Digital Twin For Smart Healthcare written by Tuan Anh Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Computers categories.

The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient. - Provides the fundamentals of blockchain, digital twin and IoMT - Presents a useful guide for readers on the new applications of blockchain, medical digital twin and IoMT - Explores how blockchain and digital twin can be used in the IoMT , smart hospitals, and for future healthcare services