Big Data And Artificial Intelligence For Healthcare Applications
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Big Data And Artificial Intelligence For Healthcare Applications
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Author : Ankur Saxena
language : en
Publisher: CRC Press
Release Date : 2021-06-14
Big Data And Artificial Intelligence For Healthcare Applications written by Ankur Saxena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-14 with Computers categories.
This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.
Advances In Artificial Intelligence For Healthcare Applications
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Author : Anoop V.S
language : en
Publisher: CRC Press
Release Date : 2025-06-09
Advances In Artificial Intelligence For Healthcare Applications written by Anoop V.S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Technology & Engineering categories.
Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain. Features: Discusses advanced concepts such as biomedical large language models, and natural language processing applications Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging applications using generative artificial intelligence The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
Big Data Analytics For Smart Healthcare Applications
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Author : Celestine Iwendi
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-17
Big Data Analytics For Smart Healthcare Applications written by Celestine Iwendi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-17 with Medical categories.
Ai Healthcare Applications And Security Ethical And Legal Considerations
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Author : Singla, Babita
language : en
Publisher: IGI Global
Release Date : 2024-08-05
Ai Healthcare Applications And Security Ethical And Legal Considerations written by Singla, Babita and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-05 with Medical categories.
Artificial Intelligence (AI) technology has led to the creation of many opportunities in the field of healthcare. Like other industries, stakeholders in the healthcare sector stand to benefit tremendously from its adoption. The multifaceted benefits associated with AI are something that makes the adoption of technology constructive for the sector. That said, it is equally important to take care of the ethical, security, and safety challenges related to AI applications. AI Healthcare Applications and Security, Ethical, and Legal Considerations discusses in detail the various facets of AI integration in the healthcare sector. This book offers comprehensive information on how to integrate AI into the healthcare sector safely and ethically. Covering topics such as cybersecurity, machine learning models, and public policy, this book is an excellent resource for healthcare professionals and administrators, researchers, ethicists, legal scholars, healthcare policy makers and regulators, medical informatics and IT professionals, educators, bioethics professionals, academicians, and more.
Machine Learning And Ai For Healthcare
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Author : Arjun Panesar
language : en
Publisher: Apress
Release Date : 2019-02-04
Machine Learning And Ai For Healthcare written by Arjun Panesar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-04 with Computers categories.
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
Artificial Intelligence For Healthcare Applications And Management
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Author : Boris Galitsky
language : en
Publisher: Academic Press
Release Date : 2022-01-13
Artificial Intelligence For Healthcare Applications And Management written by Boris Galitsky and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Computers categories.
Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. - Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment - Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis - Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare - Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields - Introduces medical discourse analysis for a high-level representation of health texts
Advances In Artificial Intelligence And Machine Learning In Big Data Processing
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Author : R. Geetha
language : en
Publisher: Springer Nature
Release Date : 2024-09-30
Advances In Artificial Intelligence And Machine Learning In Big Data Processing written by R. Geetha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning. Part II- artificial intelligence and data analytics; machine learning.
Artificial Intelligence And Big Data Analytics For Smart Healthcare
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Author : Miltiadis Lytras
language : en
Publisher: Academic Press
Release Date : 2021-10-22
Artificial Intelligence And Big Data Analytics For Smart Healthcare written by Miltiadis Lytras and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Medical categories.
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
Applications Of Artificial Intelligence Big Data And Internet Of Things In Sustainable Development
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Author : Sam Goundar
language : en
Publisher: CRC Press
Release Date : 2022-10-19
Applications Of Artificial Intelligence Big Data And Internet Of Things In Sustainable Development written by Sam Goundar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Computers categories.
This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.
Explainable Machine Learning For Multimedia Based Healthcare Applications
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Author : M. Shamim Hossain
language : en
Publisher: Springer Nature
Release Date : 2023-09-08
Explainable Machine Learning For Multimedia Based Healthcare Applications written by M. Shamim Hossain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-08 with Computers categories.
This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.