Computational Intelligence in Biomedical Internet of Medical Things

Through comprehensive insights and real-world case studies, this book features in-depth knowledge of key concepts relating to optimizing biomedical IoMT systems. Biomedical Internet of Medical Things is a technological paradigm encompassing a range of technologies that enable machines to mimic human intelligence. Machine and deep learning algorithms facilitate self-learning for the discovery of hidden patterns, associations, and risks from voluminous datasets. Computer vision and natural language processing are prominent applications of AI, allowing machines to see and understand the world in ways previously only possible for humans. In healthcare, generative techniques can analyze large and complex datasets from wearable sensors, identifying patterns and trends that can aid in detecting, diagnosing, and monitoring chronic diseases. This book comprehensively consolidates the latest technologies, groundbreaking research, and practical applications of computational intelligence in biomedical IoMT, with a strong emphasis on optimizing healthcare information systems. Readers will find the volume: Explores the transformative role of computational intelligence in the Internet of Medical Things (IoMT), demonstrating how intelligent systems enhance healthcare efficiency, accuracy, and patient-centric solutions at various scales; Examines key computational intelligence techniques and algorithms used in modern biomedical IoMT applications, emphasizing their impact on real-time diagnostics, personalized treatment, and remote patient monitoring; Highlights the evolution of AI-driven paradigms in biomedical IoMT, showcasing their role in predictive analytics, automated decision-making, and adaptive healthcare systems; Investigates the integration of trust management and advanced cybersecurity frameworks in intelligent healthcare networks. Audience Academics, research scholars, and industry professionals in the fields of mathematics, computer science, information technology, and health science.

Preface xix Part I: Foundations and Frameworks 1 1 Introduction to Computational Biomedical Intelligence 3 G. Padma Priya, Anima Nanda, Nimisha Ghosh, E. Sakthivel, Devendra Parmar and Rakesh Kumar Yadav 1.1 Introduction 4 1.2 Emergence of Computational Biomedical Intelligence 6 1.3 Applications Driving Innovation in Healthcare 8 1.4 Bridging Biomedical Complexity with Advanced Computing 9 1.5 Prospects and Challenges 10 1.6 Conclusion 13 2 Fundamentals of Biomedical Data and Social Determinants 17 Girija Shankar Sahoo, D. Alex Anand, Manoranjan Parhi, Abdul Khadar A., Subbulakshmi Ganesan and Swapnil M. Parikh 2.1 Introduction 18 2.2 Methodology 19 2.3 Models of Machine Learning and Deep Learning are Employed to Predict Cardiovascular Diseases 22 2.4 Results 24 2.5 Conclusion 30 3 The Impact of Biomedical Intelligence on Public Health 35 Smitha Madhavan, Malathi H., Anjali R. Kumbar, Bethanney Janney J., Debahuti Mishra and Ritesh Kumar 3.1 Introduction 36 3.2 Related Works 38 3.3 Proposed Methods 39 3.4 Challenges the Biomedical Intelligence in Public Healthcare 41 3.5 Impact of Public Health on Disease Prediction Using Machine Learning 42 3.6 Impact of Public Health in Disease Prediction Using Deep Learning 42 3.7 Result and Discussion 42 3.8 Discussion 51 3.9 Conclusion 51 4 Healthcare Data Integration and Management 55 Swaroop Mohanty, Piyali Roy Chowdhury, Renuka Jyothi S., Satya Ranjan Das and Dhananjay Kumar Yadav 4.1 Introduction 56 4.2 Methodology 57 4.3 Results 60 4.4 Conclusion 65 5 Ethics and Legal Issues in Computational Biomedical Intelligence 69 Mohitkumar Jagdishchandra Rathod, Neha Arora, Sindu Divakaran, Ankita Agarwal, Suhas Ballal and Chinmaya Kumar Mohapatra 5.1 Introduction 70 5.2 Description of Biomedical Technological Growth and Development 73 5.3 Ethical Considerations in Computational Biomedical Intelligence 76 5.4 Legal Considerations in Computational Biomedical Intelligence 83 5.5 Result 85 5.6 Discussion 87 5.7 Conclusion 87 Part II: Advanced Analytical Techniques 93 6 Bioinstrumentation and Medical Devices 95 Roopashree R., Utpalkumar B. Patel, Krishnakumar Samikan, Joe Arun Raja, Preeti Naval and Aneesh Wunnava 6.1 Introduction 96 6.2 Computational Intelligence Techniques in the Internet of Medical Things 98 6.3 Conclusion 108 7 Biomedical Signal Processing for Community Health 111 Sheuli Sen, Santanu Kumar Sahoo, Rekha M.M., Jemmy Christy H., Sumitra Menaria and Pooja Shukla 7.1 Introduction 112 7.2 Literature Reviews 114 7.3 Methodology 115 7.4 Results 121 7.5 Discussion 124 7.6 Conclusion 124 8 Medical Image Processing and Analysis 127 Pallavi. M., Sarbeswar Hota, Ankita Gandhi, Anbarasi Jebaselvi G. D., G. Padma Priya and Divyanshi Rajvanshi 8.1 Introduction 128 8.2 Related Work 129 8.3 Methodology 131 8.4 Result 137 8.5 Discussion 140 8.6 Conclusion 141 9 Genomic and Proteomic Data Analysis for Population Health 143 Roja Lakshmi Karri, Anand Prakash, Suman Sau, Subbulakshmi Ganesan, Jayshree Nellore and Shweta Singh 9.1 Introduction 144 9.2 Methodology 145 9.3 Human Genome Project 146 9.4 Information Synthesis and Integration 152 9.5 Conclusion 157 10 Telemedicine and Remote Monitoring 161 Sheuli Sen, Girija Shankar Sahoo, Anjali R. Kumbhar, Sibun Parida, Aranganathan A. and Malathi H. 10.1 Introduction 162 10.2 Related Works 163 10.3 Methodology 165 10.4 Experimental Results 167 10.5 Discussion 172 10.6 Conclusion 173 11 Machine Learning and Artificial Intelligence in Biomedical Applications 177 Deepti Pandey, Indraah Kolandaisamy, Visvesvaran C., Renuka Jyothi S., Suraya Mubeen and Prabhat Kumar Sahu 11.1 Introduction 178 11.2 Levels of Artificial Intelligence Applications Across Biomedical Subfields 179 11.3 Artificial Intelligence-Based Medical Imaging 180 11.4 Different Diagnosis Using Machine Learning and Artificial Intelligence 183 11.5 Performance Evaluation of Machine Learning and Deep Learning Methods in Biomedical Application 185 11.6 Transformative Impact of Artificial Intelligence in Healthcare 191 11.7 Conclusion 192 12 The Internet of Medical Things in Chronic Disease Management 197 Ravindra Pandey, Shaktijeet Mohapatra, Suhas Ballal, Ritesh Kumar, Raesa Razeen and Bavanilatha M. 12.1 Introduction 198 12.2 Related Works 199 12.3 Methodology 201 12.4 Results 206 12.5 Discussion 210 12.6 Conclusion 210 13 Wearable Technologies in Internet of Medical Things Biomedical Intelligence 213 Ramesh B. Darla, Biswaranjan Swain, Roopashree R., Amreen Khanum D., Trapty Agarwal and Barani Selvaraj 13.1 Introduction 214 13.2 Related Articles 215 13.3 Methodology 217 13.4 Result and Discussion 221 13.5 Conclusion 225 Part III: Systems and Applications 229 14 Health Informatics and Community Decision Support Systems 231 Sheuli Sen, S. Jayashree, Sudhanshu Shekhar Bisoyi, Rekha M.M., Raesa Razeen and Ankita Agarwal 14.1 Introduction 232 14.2 Methodology 234 14.3 Patient-Centered Care through Healthcare Informatics 234 14.4 Clinical Decision Support Systems Framework 235 14.5 Telemedicine Framework 237 14.6 Telehealth Framework 238 14.7 Conclusion 244 15 Healthcare Data Acquisition and Management 251 G. Padma Priya, Indumathi S.M., Rahul Priyadarshi, Brijesh Vala, Preeti Naval and Kumari K. 15.1 Introduction 252 15.2 Healthcare Data Framework 253 15.3 Assessment of Healthcare Data 261 16 Telemedicine and Remote Health Monitoring for Underserved Communities 267 Sheuli Sen, Subbulakshmi Ganesan, Rohini Chavan, Deepak Dasaratha Rao, Binayak Pand and Ayesha Taranum 16.1 Introduction 268 16.2 Accessing Community Needs and Building Awareness 270 16.3 Establishing Infrastructure and Ensuring Accessibility 271 16.4 Implementing Remote Health Monitoring and Device Distribution 273 16.5 Facilitating Telemedicine and Providing Ongoing Support 275 16.6 Evaluating Effectiveness and Continuing Support 277 16.7 Result 278 16.8 Conclusion 280 17 Personalized Medicine and Computational Approaches 285 Dheeraj Kumar Singh, Sampath A. K., Balasankar Karavadi, Malathi H., Sarita Mahapatra and Pooja Shukla 17.1 Introduction 286 17.2 Biomedical Internet of Medical Things 288 17.3 Computational Approaches in Personalized Medicine 289 17.4 Bioinformatics and Multi-Omics in Personalized Medicine 292 17.5 Diagnosis and Treatment in Personalized Medicine 294 17.6 Major Disease in Personalized Medicine 296 17.7 Computational Approaches and Accuracy Outcomes in Personalized Medicine Studies 298 17.8 Discussions 300 17.9 Summary and Future Directions 301 18 Internet of Medical Things and Social Health 305 Divyanshi Rajvanshi, Sumitra Menaria, Rajan Thangamani, Roselin Jenifer D., Renuka Jyothi S. and Alakananda Tripathy 18.1 Introduction 306 18.2 The Internet-of-Medical-Things Architecture 308 18.3 Methodology 309 18.4 Healthcare Monitoring Using Artificial Intelligence 312 18.5 Result 312 18.6 Discussion 320 18.7 Conclusion 320 Part IV: Innovations and Future Directions 325 19 Bioinformatics Algorithms and Tools 327 Suhas Ballal, Pooja Shukla, Hetal Bhaidasna, Riyazulla Rahman J., Y. Swarna Latha and Abhilash Pati 19.1 Introduction 328 19.2 Methodology 330 19.3 Bioinformatics’ Goals 330 19.4 Biological Sequence Examination 331 19.5 Basic Local Alignment Search Tool 333 19.6 Comprehensive Genome-to-Proteome Examines 334 19.7 Gene Expression and Functional Examination 338 19.8 Challenges and Future Directions 339 19.9 Conclusion 340 20 Biomedical Data Acquisition and Management 345 Praveen Priyaranjan Nayak, Roopashree R., Deeksha Choudhary, Jay Gandhi, Asif Mohamed H. B. and Poonguzhali S. 20.1 Introduction 346 20.2 Literature Review 347 20.3 Internet of Medical Things Technologies and Their Role in Biomedical Data Acquisition 349 20.4 The Internet of Medical Things Data Acquisition 349 20.5 Biomedical Data Management 355 20.6 Assessment of Security 359 20.7 Conclusion 361 21 Biomedical Data Integration and Fusion 365 Smita Rath, Emalda Roslin S., Rekha M.M., Awakash Mishra, Gaurav Kumar Ameta and Megha D. Bengalur 21.1 Introduction 366 21.2 Literature Reviews 367 21.3 Methodology 369 21.4 Results 376 21.5 Discussion 380 21.6 Conclusion 381 22 Biomedical Robotics and Assistive Technologies 383 Prasad P. S., Rourab Paul, Joany R. M., G. Padma Priya, Sweta Jethava and Ankita Thakur 22.1 Introduction 384 22.2 Surgical Robotics 386 22.3 Rehabilitation Robotics 389 22.4 Assistive Robotics 392 22.5 Wearable Assistive Robotics 393 22.6 Result 394 22.7 Discussion 397 22.8 Conclusion 397 23 Predictive Modeling in Healthcare 401 Trapty Agarwal, Lambodar Jena, Tabrej Mulla, Megalan Leo L. and Subbulakshmi Ganesan 23.1 Introduction 402 23.2 Methodology 404 23.3 Result 410 23.4 Discussion 413 23.5 Conclusion 414 24 Blockchain for Secure and Equitable Health Data Management 417 Ravindra Pandey, Arun Khatri, Amrutanshu Panigrahi, Malathi H., Intekhab Alam and Akshatha Y. 24.1 Introduction 418 24.2 Methodology 420 24.3 Blockchain 420 24.4 Assessment of Healthcare Management 432 24.5 Conclusion 434 25 Quantum Computing in Biomedical Intelligence 439 Indraah Kolandaisamy, Renuka Jyothi S., Muthiah M.A., Bharat Jyoti Ranjan Sahoo, Sharath Kumar A.J. and Deeksha Choudhary 25.1 Introduction 440 25.2 Quantum Computing 441 25.3 Difference Between Classical and Quantum Computing 443 25.4 Quantum Computing in Machine Learning 444 25.5 Quantum Computing in Healthcare 444 25.6 Methodology 445 25.7 Diagnosing Disease Using Quantum Computing 446 25.8 Impact of Quantum Computing on Drug Discovery 448 25.9 Result 448 25.10 Discussion 452 25.11 Conclusion 452 References 453 Index 457