Medical Metaverse for Digital Healthcare

R. Nidhya, PhD is an Assistant Professor in the Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science (Deemed to be University), Andhra Pradesh, India. She has published many research papers in international journals and conferences. Her research interests include wireless body area networks, network security, and data mining. D. Pavithra, PhD is an Associate Professor at the Dr. NGP Institute of Technology, Coimbatore, Tamil Nadu, India. She completed her PhD at Anna University Chennai in 2021. Her current research interests include autism, machine learning, and deep learning. S. Balamurugan, PhD is the Director of Albert Einstein Engineering and Research Labs and the Vice Chairman of the Renewable Energy Society of India. He also serves as a research consultant to many companies, startups, SMEs, and MSMEs. He has published 57 books, more than 300 international journals and conferences, and 100 patents. A. Dinesh Kumar is an Associate Professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation University, Guntur, Andhra Pradesh, India. He completed his PhD at Anna University Chennai in 2018. His current research interests include wireless body area networks, wireless sensor networks, network security, and artificial intelligence. Sheng-Lung Peng, PhD is a Professor and the Director of the Department of Creative Technologies and Product Design at the National Taipei University of Business, Taiwan. He has edited several special issues of journals and published more than 100 research papers. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks.

• Preface xixAcknowledgement xxiPart 1: Technologies 11 A Novel Approach for Predicting Human Anomalous Behaviors in Video through Two-Stream 3D Convolutional Neural Network 3B. Prabha, J. Nagaraj, Thangarasan T., Soubraylu Sivakumar, S. Velmurugan and Bommy M.2 U-Net–Based Residual Network for Blood Vessel Segmentation from Fundus Images 27Nitigya Sambyal, Sukhpal Singh and Varun Gupta3 Machine Learning–Based Early Identification of Parkinson Disease Using Voice and Behavioral Data 41Smilarubavathy G., R. Nidhya, Keerthana S. M. and Sangeetha S.4 Automated Dental Age Detection Using Mayfly Optimized Extreme Learning Machine Classification 63B. Hemalatha5 Ensemble-Stacked Hybrid Classifier (ESHC): A Novel Approach for Imbalanced Data Classification in Stroke Prediction 81M. Priyadharshini, Kaushik Sekaran, J. Kalaivani, Ramesh Ponnala and V. Murugesh6 Ensemble-Based Classification and Prediction of Divergent Gene Variant Interpretations Using Boosting and Modern Machine Learning Techniques 109SatishKumar Patnala, Umme Najma, D. Chandravathi, Bh. Padma and Jyothi N. M.7 Blockchain-Based AI Security Model for Preserving Medical Data with Interplanetary Access Control System 129Rajiv Avacharmal, Brij Kishore Pandey, Piyush Ranjan and Sumit DahiyaPart 2: Applications 1498 Virtual Reality, Augmented Reality, and Mixed Reality for Healthcare Applications 151Rajesh Sharma R., Akey Sungheetha, Tina Babu and Rekha R. Nair9 A Layered Convolutional Network Model for Cancer Prediction Using Learning Approaches 171V. Murugesh, Sanjiv Rao Godla, R.V.V. Krishna, D. Pavithra and R. Nidhya10 Chronic Kidney Disease Prediction Using a Layered Convolutional Vector Model 203Sanjiv Rao Godla, V. Murugesh, Vijay Kumar Janga, R. Nidhya and D. Pavithra11 Early Detection and Automatic Diagnosis of Autism Spectrum Disorder Using Transformer Model 229S.M. Keerthana, Sasikala, K. Subha and G. Smilarubavathy12 Energy-Efficient Lightweight Security Framework for Internet of Medical Things Devices for Healthcare Applications 247B. Sarath Chandra, Raja Rao P.B.V., M. Geetha, P. V. Narasimha Raju, Madhukumar Patnala and Sivudu Macherla13 An Intelligent Framework for Identifying Tumor in Pancreas through an AI and Deep Learning Approach 265Jithendra Reddy DanduPart 3: Challenges 28514 Performance Improvement of Brain Tumor Classification Using Aquila-Based Optimization on Transfer Learning Models 287Ganeshkumar M., Karthigadevi K. and Nesarani A.15 An Enhanced Pretrained Language Model for Biomedical Domain: Fine-Tuning BERT for Electronic Health Records 305Satish Muppidi, Radhika Gouni, Anupama Angadi, Satya Keerthi Gorripati, Venubabu Rachapudi and S. Anjali Devi16 Development and Optimization of Hybrid Fixed-Wing Unmanned Aerial Vehicles for Healthcare Applications 321Pamarthi Venkatasivarambabu and Richa Agrawal17 Optimization of Nerve Segmentation Performance Using U-Net Architecture and Aquila in Medical Imaging 345Umme Najma, B.K. Rajya Lakshmi, D. Chandravathi, Bh. Padma and Jyothi N. M.18 AI in Diagnosis, Treatment, and Surgery 369Saigurudatta PamulaparthyvenkataReferences 402Index 407