Role Of Internet Of Things And Machine Learning In Smart Healthcare
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Role Of Internet Of Things And Machine Learning In Smart Healthcare
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-12
Role Of Internet Of Things And Machine Learning In Smart Healthcare written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Computers categories.
Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies. - Provides in-depth surveys and tutorials on new computer technology, with this release focusing on IOT and Machine Learning in Smart Healthcare - Presents well-known authors and researchers in the field - Includes volumes that are devoted to single themes or subfields of computer science
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.
Artificial Intelligence And Internet Of Things
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Author : Lalit Mohan Goyal
language : en
Publisher: CRC Press
Release Date : 2021-08-25
Artificial Intelligence And Internet Of Things written by Lalit Mohan Goyal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-25 with Health & Fitness categories.
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.
Iot And Ml For Information Management A Smart Healthcare Perspective
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Author : Suyel Namasudra
language : en
Publisher: Springer Nature
Release Date : 2024-08-27
Iot And Ml For Information Management A Smart Healthcare Perspective written by Suyel Namasudra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.
This book discusses the roles of the Internet of Things (IoT) and machine learning (ML) in smart health care, including the integration of cloud computing with IoT and ML for managing healthcare data. It presents the fundamentals and many applications of IoT and ML in different areas of smart health care. It deliberates upon security and privacy issues, including trust concerns about smart healthcare systems based on IoT and ML algorithms. This book is concluded by discussing challenges and future work directions in smart health care using IoT and ML, and it serves as a reference resource for researchers and practitioners in academia and industry.
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.
Handbook Of Research On Machine Learning Enabled Iot For Smart Applications Across Industries
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Author : Goel, Neha
language : en
Publisher: IGI Global
Release Date : 2023-07-03
Handbook Of Research On Machine Learning Enabled Iot For Smart Applications Across Industries written by Goel, Neha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Computers categories.
Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.
Developing Ai Iot And Cloud Computing Based Tools And Applications For Women S Safety
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Author : Parul Dubey
language : en
Publisher: CRC Press
Release Date : 2024-12-05
Developing Ai Iot And Cloud Computing Based Tools And Applications For Women S Safety written by Parul Dubey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Computers categories.
In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT, and Cloud Computing and women's safety, highlighting the transformative potential of technology in safeguarding women's well-being in the physical and the digital world. As the safety and security industry embraces technological advancements, the need for inclusive and gender-centric solutions has become increasingly evident. This reference book delves into this critical area, showcasing the development of AI, IoT, and Cloud applications specifically tailored to address the unique safety challenges faced by women. • Provides a comprehensive exploration of how AI and related technologies are reshaping the future of women's safety. • Emphases the utilisation of AI to tackle the specific challenges women encounter in various contexts. • Introduces innovative solutions such as wearable technology, AI-powered surveillance systems, and mobile applications designed for emergency responses. • Discusses ethical implications of deploying technology for personal security and navigates the evolving legal landscape surrounding data privacy. • Bridges the gap between theoretical discussions and practical implementations, offering a guide to developing technology for the improvement of women's safety. It is an invaluable resource for professionals and researchers interested in the transformative role of AI, IoT, and Cloud in shaping the future of women's safety.
Iot Machine Learning And Data Analytics For Smart Healthcare
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Author : Mourade Azrour
language : en
Publisher: CRC Press
Release Date : 2024-03-13
Iot Machine Learning And Data Analytics For Smart Healthcare written by Mourade Azrour and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-13 with Computers categories.
Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students
Machine Learning For Smart Environments Cities
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Author : Gonçalo Marques
language : en
Publisher: Springer Nature
Release Date : 2022-04-05
Machine Learning For Smart Environments Cities written by Gonçalo Marques and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-05 with Computers categories.
This book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.
Machine Learning For Critical Internet Of Medical Things
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2022-02-03
Machine Learning For Critical Internet Of Medical Things written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-03 with Technology & Engineering categories.
This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.