Computational Intelligence in Biomedical Internet of Medical Things

Satya Prakash Yadav, PhD is an Associate Professor in the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India with more than 17 years of experience. He has published four books, two patents, and many research articles in international journals and conferences. His research focuses on image processing, information retrieval, and feature extraction and programming. Abhay Bansal, PhD is a Professor and the Dean of the School of Computer Science Engineering and Technology and the Dean of International Affairs and Corporate Outreach, Bennett University, Greater Noida , UP, India with more than 29 years of research and teaching experience. He has published more than 130 papers in various international journals and conferences of repute. His research interests include data science, data analytics, cloud computing, and data structure. Victor Hugo C. de Albuquerque, PhD is a Professor and Senior Researcher in the Department of Teleinformatics Engineering, Federal University of Ceará, Brazil. He is a full member of the Brazilian Society of Biomedical Engineering and serves as an editor for several international journals and conferences. He has experience in biomedical science and engineering, mainly in the fields of applied computing, intelligent systems, and visualization and interaction.

• Preface xixPart I: Foundations and Frameworks 11 Introduction to Computational Biomedical Intelligence 3G. Padma Priya, Anima Nanda, Nimisha Ghosh, E. Sakthivel, Devendra Parmar and Rakesh Kumar Yadav1.1 Introduction 41.2 Emergence of Computational Biomedical Intelligence 61.3 Applications Driving Innovation in Healthcare 81.4 Bridging Biomedical Complexity with Advanced Computing 91.5 Prospects and Challenges 101.6 Conclusion 132 Fundamentals of Biomedical Data and Social Determinants 17Girija Shankar Sahoo, D. Alex Anand, Manoranjan Parhi, Abdul Khadar A., Subbulakshmi Ganesan and Swapnil M. Parikh2.1 Introduction 182.2 Methodology 192.3 Models of Machine Learning and Deep Learning are Employed to Predict Cardiovascular Diseases 222.4 Results 242.5 Conclusion 303 The Impact of Biomedical Intelligence on Public Health 35Smitha Madhavan, Malathi H., Anjali R. Kumbar, Bethanney Janney J., Debahuti Mishra and Ritesh Kumar3.1 Introduction 363.2 Related Works 383.3 Proposed Methods 393.4 Challenges the Biomedical Intelligence in Public Healthcare 413.5 Impact of Public Health on Disease Prediction Using Machine Learning 423.6 Impact of Public Health in Disease Prediction Using Deep Learning 423.7 Result and Discussion 423.8 Discussion 513.9 Conclusion 514 Healthcare Data Integration and Management 55Swaroop Mohanty, Piyali Roy Chowdhury, Renuka Jyothi S., Satya Ranjan Das and Dhananjay Kumar Yadav4.1 Introduction 564.2 Methodology 574.3 Results 604.4 Conclusion 655 Ethics and Legal Issues in Computational Biomedical Intelligence 69Mohitkumar Jagdishchandra Rathod, Neha Arora, Sindu Divakaran, Ankita Agarwal, Suhas Ballal and Chinmaya Kumar Mohapatra5.1 Introduction 705.2 Description of Biomedical Technological Growth and Development 735.3 Ethical Considerations in Computational Biomedical Intelligence 765.4 Legal Considerations in Computational Biomedical Intelligence 835.5 Result 855.6 Discussion 875.7 Conclusion 87Part II: Advanced Analytical Techniques 936 Bioinstrumentation and Medical Devices 95Roopashree R., Utpalkumar B. Patel, Krishnakumar Samikan, Joe Arun Raja, Preeti Naval and Aneesh Wunnava6.1 Introduction 966.2 Computational Intelligence Techniques in the Internet of Medical Things 986.3 Conclusion 1087 Biomedical Signal Processing for Community Health 111Sheuli Sen, Santanu Kumar Sahoo, Rekha M.M., Jemmy Christy H., Sumitra Menaria and Pooja Shukla7.1 Introduction 1127.2 Literature Reviews 1147.3 Methodology 1157.4 Results 1217.5 Discussion 1247.6 Conclusion 1248 Medical Image Processing and Analysis 127Pallavi. M., Sarbeswar Hota, Ankita Gandhi, Anbarasi Jebaselvi G. D., G. Padma Priya and Divyanshi Rajvanshi8.1 Introduction 1288.2 Related Work 1298.3 Methodology 1318.4 Result 1378.5 Discussion 1408.6 Conclusion 1419 Genomic and Proteomic Data Analysis for Population Health 143Roja Lakshmi Karri, Anand Prakash, Suman Sau, Subbulakshmi Ganesan, Jayshree Nellore and Shweta Singh9.1 Introduction 1449.2 Methodology 1459.3 Human Genome Project 1469.4 Information Synthesis and Integration 1529.5 Conclusion 15710 Telemedicine and Remote Monitoring 161Sheuli Sen, Girija Shankar Sahoo, Anjali R. Kumbhar, Sibun Parida, Aranganathan A. and Malathi H.10.1 Introduction 16210.2 Related Works 16310.3 Methodology 16510.4 Experimental Results 16710.5 Discussion 17210.6 Conclusion 17311 Machine Learning and Artificial Intelligence in Biomedical Applications 177Deepti Pandey, Indraah Kolandaisamy, Visvesvaran C., Renuka Jyothi S., Suraya Mubeen and Prabhat Kumar Sahu11.1 Introduction 17811.2 Levels of Artificial Intelligence Applications Across Biomedical Subfields 17911.3 Artificial Intelligence-Based Medical Imaging 18011.4 Different Diagnosis Using Machine Learning and Artificial Intelligence 18311.5 Performance Evaluation of Machine Learning and Deep Learning Methods in Biomedical Application 18511.6 Transformative Impact of Artificial Intelligence in Healthcare 19111.7 Conclusion 19212 The Internet of Medical Things in Chronic Disease Management 197Ravindra Pandey, Shaktijeet Mohapatra, Suhas Ballal, Ritesh Kumar, Raesa Razeen and Bavanilatha M.12.1 Introduction 19812.2 Related Works 19912.3 Methodology 20112.4 Results 20612.5 Discussion 21012.6 Conclusion 21013 Wearable Technologies in Internet of Medical Things Biomedical Intelligence 213Ramesh B. Darla, Biswaranjan Swain, Roopashree R., Amreen Khanum D., Trapty Agarwal and Barani Selvaraj13.1 Introduction 21413.2 Related Articles 21513.3 Methodology 21713.4 Result and Discussion 22113.5 Conclusion 225Part III: Systems and Applications 22914 Health Informatics and Community Decision Support Systems 231Sheuli Sen, S. Jayashree, Sudhanshu Shekhar Bisoyi, Rekha M.M., Raesa Razeen and Ankita Agarwal14.1 Introduction 23214.2 Methodology 23414.3 Patient-Centered Care through Healthcare Informatics 23414.4 Clinical Decision Support Systems Framework 23514.5 Telemedicine Framework 23714.6 Telehealth Framework 23814.7 Conclusion 24415 Healthcare Data Acquisition and Management 251G. Padma Priya, Indumathi S.M., Rahul Priyadarshi, Brijesh Vala, Preeti Naval and Kumari K.15.1 Introduction 25215.2 Healthcare Data Framework 25315.3 Assessment of Healthcare Data 26116 Telemedicine and Remote Health Monitoring for Underserved Communities 267Sheuli Sen, Subbulakshmi Ganesan, Rohini Chavan, Deepak Dasaratha Rao, Binayak Pand and Ayesha Taranum16.1 Introduction 26816.2 Accessing Community Needs and Building Awareness 27016.3 Establishing Infrastructure and Ensuring Accessibility 27116.4 Implementing Remote Health Monitoring and Device Distribution 27316.5 Facilitating Telemedicine and Providing Ongoing Support 27516.6 Evaluating Effectiveness and Continuing Support 27716.7 Result 27816.8 Conclusion 28017 Personalized Medicine and Computational Approaches 285Dheeraj Kumar Singh, Sampath A. K., Balasankar Karavadi, Malathi H., Sarita Mahapatra and Pooja Shukla17.1 Introduction 28617.2 Biomedical Internet of Medical Things 28817.3 Computational Approaches in Personalized Medicine 28917.4 Bioinformatics and Multi-Omics in Personalized Medicine 29217.5 Diagnosis and Treatment in Personalized Medicine 29417.6 Major Disease in Personalized Medicine 29617.7 Computational Approaches and Accuracy Outcomes in Personalized Medicine Studies 29817.8 Discussions 30017.9 Summary and Future Directions 30118 Internet of Medical Things and Social Health 305Divyanshi Rajvanshi, Sumitra Menaria, Rajan Thangamani, Roselin Jenifer D., Renuka Jyothi S. and Alakananda Tripathy18.1 Introduction 30618.2 The Internet-of-Medical-Things Architecture 30818.3 Methodology 30918.4 Healthcare Monitoring Using Artificial Intelligence 31218.5 Result 31218.6 Discussion 32018.7 Conclusion 320Part IV: Innovations and Future Directions 32519 Bioinformatics Algorithms and Tools 327Suhas Ballal, Pooja Shukla, Hetal Bhaidasna, Riyazulla Rahman J., Y. Swarna Latha and Abhilash Pati19.1 Introduction 32819.2 Methodology 33019.3 Bioinformatics’ Goals 33019.4 Biological Sequence Examination 33119.5 Basic Local Alignment Search Tool 33319.6 Comprehensive Genome-to-Proteome Examines 33419.7 Gene Expression and Functional Examination 33819.8 Challenges and Future Directions 33919.9 Conclusion 34020 Biomedical Data Acquisition and Management 345Praveen Priyaranjan Nayak, Roopashree R., Deeksha Choudhary, Jay Gandhi, Asif Mohamed H. B. and Poonguzhali S.20.1 Introduction 34620.2 Literature Review 34720.3 Internet of Medical Things Technologies and Their Role in Biomedical Data Acquisition 34920.4 The Internet of Medical Things Data Acquisition 34920.5 Biomedical Data Management 35520.6 Assessment of Security 35920.7 Conclusion 36121 Biomedical Data Integration and Fusion 365Smita Rath, Emalda Roslin S., Rekha M.M., Awakash Mishra, Gaurav Kumar Ameta and Megha D. Bengalur21.1 Introduction 36621.2 Literature Reviews 36721.3 Methodology 36921.4 Results 37621.5 Discussion 38021.6 Conclusion 38122 Biomedical Robotics and Assistive Technologies 383Prasad P. S., Rourab Paul, Joany R. M., G. Padma Priya, Sweta Jethava and Ankita Thakur22.1 Introduction 38422.2 Surgical Robotics 38622.3 Rehabilitation Robotics 38922.4 Assistive Robotics 39222.5 Wearable Assistive Robotics 39322.6 Result 39422.7 Discussion 39722.8 Conclusion 39723 Predictive Modeling in Healthcare 401Trapty Agarwal, Lambodar Jena, Tabrej Mulla, Megalan Leo L. and Subbulakshmi Ganesan23.1 Introduction 40223.2 Methodology 40423.3 Result 41023.4 Discussion 41323.5 Conclusion 41424 Blockchain for Secure and Equitable Health Data Management 417Ravindra Pandey, Arun Khatri, Amrutanshu Panigrahi, Malathi H., Intekhab Alam and Akshatha Y.24.1 Introduction 41824.2 Methodology 42024.3 Blockchain 42024.4 Assessment of Healthcare Management 43224.5 Conclusion 43425 Quantum Computing in Biomedical Intelligence 439Indraah Kolandaisamy, Renuka Jyothi S., Muthiah M.A., Bharat Jyoti Ranjan Sahoo, Sharath Kumar A.J. and Deeksha Choudhary25.1 Introduction 44025.2 Quantum Computing 44125.3 Difference Between Classical and Quantum Computing 44325.4 Quantum Computing in Machine Learning 44425.5 Quantum Computing in Healthcare 44425.6 Methodology 44525.7 Diagnosing Disease Using Quantum Computing 44625.8 Impact of Quantum Computing on Drug Discovery 44825.9 Result 44825.10 Discussion 45225.11 Conclusion 452References 453Index 457