Название: Blockchain and Deep Learning for Smart Healthcare Автор: Akansha Singh, Anuradha Dhull, Krishna Kant Singh Издательство: Wiley-Scrivener Год: 2024 Страниц: 470 Язык: английский Формат: pdf (true) Размер: 14.9 MB
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.
Blockchain technology is poised to revolutionize more than just payment and cryptocurrency. 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 the 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. The research has just begun to scratch the surface in how to automate the complexities of today’s healthcare systems and design new systems that focus on trust, transparency, and the alignment of incentives.
There are a number of books available in Deep Learning and blockchain technology individually. There is no such book available that focuses on the application of Deep Learning and blockchain technology in the healthcare system. Thus, this book is unique in terms of the topics and related content it covers. The readers from a large domain will be interested in the book as it covers three major fields. Moreover, it will be appealing for the readers who tend to do research in this field as the book covers the latest research topics.
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.
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