Hybrid Artificial Intelligence And Iot In Healthcare
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Hybrid Artificial Intelligence And Iot In Healthcare
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Author : Akash Kumar Bhoi
language : en
Publisher: Springer Nature
Release Date : 2021-07-22
Hybrid Artificial Intelligence And Iot In Healthcare written by Akash Kumar Bhoi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with Technology & Engineering categories.
This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.
Hybrid Artificial Intelligence And Iot In Healthcare
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Author : Akash Kumar Bhoi
language : en
Publisher:
Release Date : 2021
Hybrid Artificial Intelligence And Iot In Healthcare written by Akash Kumar Bhoi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.
Iot And Ai Enabled Healthcare Solutions And Intelligent Disease Prediction
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Author : Bhoopesh Singh Bhati
language : en
Publisher: CRC Press
Release Date : 2025-09-09
Iot And Ai Enabled Healthcare Solutions And Intelligent Disease Prediction written by Bhoopesh Singh Bhati and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-09 with Computers categories.
The book presents fundamental to advanced concepts of AI and IoT in healthcare and disease prediction, demonstrating the emerging mechanisms, including machine learning, deep learning, image sensing, and explainable AI models to handle issues in healthcare industries with real-life scenarios. Included chapters are contributed by experienced professionals and academicians who examine severe diseases, applications, models, tools, frameworks, case studies, applications, and best practices in Healthcare. This book integrates the medical domain with AI technology. It covers trending explainable AI, computer vision (CV), and IoT that facilitate automation for healthcare solutions and medical diagnostics. The primary focus on explainable AI uncovers the black box of deep learning and bridges the distance between medical professionals and technologists. IoT in Healthcare: provides a mechanism of image sensing and is helpful in surgical tools.
Artificial Intelligence And Cybersecurity In Healthcare
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Author : Rashmi Agrawal
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-21
Artificial Intelligence And Cybersecurity In Healthcare written by Rashmi Agrawal 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 2025-02-21 with Computers categories.
Artificial Intelligence and Cybersecurity in Healthcare provides a crucial exploration of AI and cybersecurity within healthcare Cyber Physical Systems (CPS), offering insights into the complex technological landscape shaping modern patient care and data protection. As technology advances, healthcare has transformed, particularly through the implementation of CPS that integrate the digital and physical worlds, enhancing system efficiency and effectiveness. This increased reliance on technology raises significant security concerns. The book addresses the integration of AI and cybersecurity in healthcare CPS, detailing technological advancements, applications, and the challenges they present. AI applications in healthcare CPS include remote patient monitoring, AI chatbots for patient assistance, and biometric authentication for data security. AI not only improves patient care and clinical decision-making by analyzing extensive data and optimizing treatment plans, but also enhances CPS security by detecting and responding to cyber threats. Nonetheless, AI systems are susceptible to attacks, emphasizing the need for robust cybersecurity. Significant issues include the privacy and security of sensitive healthcare data, potential identity theft, and medical fraud from data breaches, alongside ethical concerns such as algorithmic bias. As the healthcare industry becomes increasingly digital and data-driven, integrating AI and cybersecurity measures into CPS is essential. This requires collaboration among healthcare providers, tech vendors, regulatory bodies, and cybersecurity experts to develop best practices and standards. This book aims to provide a comprehensive understanding of AI, cybersecurity, and healthcare CPS. It explores technologies like augmented reality, blockchain, and the Internet of Things, addressing associated challenges like cybersecurity threats and ethical dilemmas.
Next Generation Therapeutics Using Internet Of Things And Machine Learning
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Author : Shuaib, Mohammed
language : en
Publisher: IGI Global
Release Date : 2025-05-21
Next Generation Therapeutics Using Internet Of Things And Machine Learning written by Shuaib, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.
The integration of the Internet of Things (IoT) and Machine Learning (ML) is revolutionizing healthcare and environmental management by enabling real-time monitoring, predictive analytics, and personalized interventions. These technologies enhance patient care by facilitating early disease detection, remote monitoring, and data-driven treatment strategies, ultimately improving health outcomes. In environmental management, IoT and ML contribute to sustainable solutions by tracking air and water quality, predicting pollution trends, and optimizing resource usage. Their application in decentralized health records and chronic disease management streamlines operations, reduces costs, and empowers individuals with greater control over their health. As these technologies continue to evolve, they hold immense potential to create smarter, more resilient healthcare and environmental systems. Next-Generation Therapeutics Using Internet of Things and Machine Learning provides a comprehensive framework for understanding and implementing IoT and ML in healthcare and environmental monitoring. By exploring practical applications, this book delves into how these technologies are reshaping diagnostics, patient care, operational efficiencies, and environmental sustainability. Covering topics such as artificial intelligence (AI), medical data exchange, and sustainability, this book is an excellent resource for researchers, practitioners, students, and more.
Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 2
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-10-19
Proceedings Of The 5th International Conference On Data Science Machine Learning And Applications Volume 2 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-19 with Computers categories.
This book includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
International Conference On Innovative Computing And Communications
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2023-07-25
International Conference On Innovative Computing And Communications written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.
This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing and Communication (ICICC 2023), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 17–18, 2023. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Proceedings Of 2nd International Conference On Mathematical Modeling And Computational Science
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Author : Sheng-Lung Peng
language : en
Publisher: Springer Nature
Release Date : 2022-06-28
Proceedings Of 2nd International Conference On Mathematical Modeling And Computational Science written by Sheng-Lung Peng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-28 with Technology & Engineering categories.
The conference proceeding of ICMMCS 2021 presents most recent scientific and technological advances in the fields of engineering mathematics and computational science to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the Second International Conference on Mathematical Modeling and Computational Science (ICMMCS 2021), held online during October 29–30, 2021. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, Internet of Things (IoT).
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
Leveraging Ai Technologies For Preventing And Detecting Sudden Cardiac Arrest And Death
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Author : Nijalingappa, Pradeep
language : en
Publisher: IGI Global
Release Date : 2022-06-24
Leveraging Ai Technologies For Preventing And Detecting Sudden Cardiac Arrest And Death written by Nijalingappa, Pradeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Medical categories.
Machine learning approaches have great potential in increasing the accuracy of cardiovascular risk prediction and avoiding unnecessary treatment. The application of machine learning techniques may improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Additionally, artificial intelligence technologies can assist physicians in making better clinical decisions, enabling early detection of subclinical organ dysfunction, and improving the quality and efficiency of healthcare delivery. Further study on these innovative technologies is required in order to appropriately utilize the technology in healthcare. Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death provides insight into the causes and symptoms of sudden cardiac death and sudden cardiac arrest while evaluating whether artificial intelligence technologies can improve the accuracy of cardiovascular risk prediction. Furthermore, it consolidates the current open issues and future technology-driven solutions for sudden cardiac death and sudden cardiac arrest prevention and detection. Covering a number of crucial topics such as wearable sensors and smart technologies, this reference work is ideal for diagnosticians, IT specialists, data scientists, healthcare workers, researchers, academicians, scholars, practitioners, instructors, and students.