Healthcare Services in the Metaverse (ePub)
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This book focuses on game theory approaches utilized on various domains viz., IoT, blockchain and their applications to biomedical and healthcare services. The book bridges the gap between radiologists and Artificial Intelligence (AI)-driven automated systems by investigating various techniques such as Game Theoretic approach, blockchain technology basically utilized for security and IoT applied on metaverse.
Healthcare Services in the Metaverse: Game Theory, AI, IOT, and Blockchain, identifies the potential areas where game theory and block chain techniques can be harnessed in the metaverse. The book discusses the integration of virtual reality with the augmented reality to identify the new emerging techniques in healthcare to metaverse, where doctors and or patients can see any kind of operation in a virtual reality metaverse. The authors use game theoretical and blockchain approaches to understand healthcare issues. The aim is on utilization of different technologies on metaverse platform towards on health informatics. This book is written to help individuals across the academia, research, and healthcare practitioners as well as for those who work in biomedical, healthcare, IoT, artificial intelligence, metaverse, virtual reality, blockchain and related technologies.
Dr. Anjan Bandyopadhyay is currently working as Assistant Professor in the Department of School of Computer Science & Engineering in Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India. He completed his PhD in the Department of Computer Science & Engineering from National Institute of Technology, Durgapur, West Bengal, India in 2023. He has co-authored more than 30 research publications in various peer-reviewed International Journals, Conferences and Book Chapters. He attended many national and international conferences in India and abroad. His research domains include Cloud Computing, Fog Computing and Algorithmic Game Theory.
Dr. Ruifeng Hu is currently working as Research Fellow at Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Previously, he worked as Postdoctoral Fellow in the Center of Precision Health, Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA for three years (2018-2021). His research is focused on the application of multivariate statistics, machine learning, and deep learning to mics data, and bioinformatics data.
Dr. Pawan
Prof. (Dr.) Soumadip Ghosh is currently serving as a Professor in the Department of Computer Science & Engineering, Sister Nivedita University, Kolkata, India. He obtained his PhD from University of Kalyani, West Bengal, India in 2017. He has more than eighteen years of teaching and research experience. He has co-authored more than 30 research papers, and his research domains are Data Mining, Machine Learning and Deep Learning.
Dr. Sujata Swain is an Assistant Professor in the School of Computer Engineering of Kalinga Institute of Industrial Technology, Orissa, India. She obtained her Ph.D and M. Tech. in the Department of Computer Science and Engineering from Indian Institute of Technology (IIT) Roorkee, India. Previously, she had worked as an Assistant professor at IIMT Engineering College, Meerut Galgotia's College of Engineering and Technology, Greater Noida, India. She has more than 40 publications and her research interests include Web Service Composition, Service-Oriented Computing and Pervasive Computing.
- 2024, 240 Seiten, Englisch
- Herausgegeben: Saurav Mallik, Anjan Bandyopadhyay, Ruifeng Hu, Pawan Kumar Singh, Soumadip Ghosh, Sujata Swain
- Verlag: Taylor & Francis
- ISBN-10: 1040021212
- ISBN-13: 9781040021217
- Erscheinungsdatum: 02.05.2024
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- Dateiformat: ePub
- Größe: 4.32 MB
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