<p>Preface xv</p> <p><b>Part 1: Blockchain Fundamentals and Applications 1</b></p> <p><b>1 Blockchain Technology: Concepts and Applications 3</b><br /><i>Hermehar Pal Singh Bedi, Valentina E. Balas, Sukhpreet Kaur and Rubal Jeet</i></p> <p>1.1 Introduction 3</p> <p>1.2 Blockchain Types 4</p> <p>1.3 Consensus 8</p> <p>1.4 How Does Blockchain Work? 10</p> <p>1.5 Need of Blockchain 12</p> <p>1.6 Uses of Blockchain 12</p> <p>1.7 Evolution of Blockchain 14</p> <p>1.8 Blockchain in Ethereum 17</p> <p>1.9 Advantages of Smart Contracts 21</p> <p>1.10 Use Cases of Smart Contracts 21</p> <p>1.11 Real-Life Example of Smart Contracts 22</p> <p>1.12 Blockchain in Decentralized Applications 22</p> <p>1.13 Decentraland 25</p> <p>1.14 Challenges Faced by Blockchain 27</p> <p>1.15 Weaknesses of Blockchain 29</p> <p>1.16 Future of Blockchain 30</p> <p>1.17 Conclusion 31</p> <p><b>2 Blockchain with Federated Learning for Secure Healthcare Applications 35</b><br /><i>Akansha Singh and Krishna Kant Singh</i></p> <p>2.1 Introduction 36</p> <p>2.2 Federated Learning 36</p> <p>2.3 Motivation 37</p> <p>2.4 Federated Machine Learning 38</p> <p>2.5 Federated Learning Frameworks 39</p> <p>2.6 FL Perspective for Blockchain and IoT 39</p> <p>2.7 Federated Learning Applications 41</p> <p>2.8 Limitations 42</p> <p><b>3 Futuristic Challenges in Blockchain Technologies 45</b><br /><i>Arun Kumar Singh, Sandeep Saxena, Ashish Tripathi, Arjun Singh and Shrikant Tiwari</i></p> <p>3.1 Introduction 46</p> <p>3.2 Blockchain 47</p> <p>3.3 Issues and Challenges with Blockchain 53</p> <p>3.4 Internet of Things (IoT) 58</p> <p>3.5 Background of IoT 59</p> <p>3.6 Conclusion 67</p> <p><b>4 AIML-Based Blockchain Solutions for IoMT 73</b><br /><i>Rishita Khurana, Manika Choudhary, Akansha Singh and Krishna Kant Singh</i></p> <p>4.1 Introduction 74</p> <p>4.2 Objective and Contribution 75</p> <p>4.3 Security Challenges in Different Domains 76</p> <p>4.4 Healthcare 77</p> <p>4.5 Agriculture 77</p> <p>4.6 Transportation 78</p> <p>4.7 Smart Grid 78</p> <p>4.8 Smart City 78</p> <p>4.9 Smart Home 79</p> <p>4.10 Communication 79</p> <p>4.11 Security Attacks in IoT 81</p> <p>4.12 Solutions for Addressing Security Using Machine Learning 83</p> <p>4.13 Solutions for Addressing Security Using Artificial Intelligence 83</p> <p>4.14 Solutions for Addressing Security Using Blockchain 86</p> <p>4.15 Summary 88</p> <p>4.16 Critical Analysis 89</p> <p>4.17 Conclusion 89</p> <p><b>5 A Blockchain-Based Solution for Enhancing Security and Privacy in the Internet of Medical Things (IoMT) Used in e-Healthcare 95</b><br /><i>Meenakshi and Preeti Sharma</i></p> <p>5.1 Introduction: E-Health and Medical Services 96</p> <p>5.2 Literature Review 98</p> <p>5.3 Architecture of Blockchain-Enabled IoMT 101</p> <p>5.4 Proposed Methodology 104</p> <p>5.5 Conclusion and Future Work 108</p> <p><b>6 A Review on the Role of Blockchain Technology in the Healthcare Domain 113</b><br /><i>Aryan Dahiya, Anuradha, Shilpa Mahajan and Swati Gupta</i></p> <p>6.1 Introduction 113</p> <p>6.2 Systematic Literature Methodology 119</p> <p>6.3 Applications of Blockchain in the Healthcare Domain 122</p> <p>6.4 Blockchain Challenges 136</p> <p>6.5 Future Research Directions and Perspectives 139</p> <p>6.6 Implications and Conclusion 140</p> <p><b>7 Blockchain in Healthcare: Use Cases 147</b><br /><i>Utsav Sharma, Aditi Ganapathi, Akansha Singh and Krishna Kant Singh</i></p> <p>7.1 Introduction 147</p> <p>7.2 Challenges Faced in the Healthcare Sector 149</p> <p>7.3 Use Cases of Blockchains in the Healthcare Sector 150</p> <p>7.4 What is Medicalchain? 159</p> <p>7.5 Implementing Blockchain in SCM 165</p> <p>7.6 Why Use Blockchain in SCM 167</p> <p><b>Part 2: Smart Healthcare 171</b></p> <p><b>8 Potential of Blockchain Technology in Healthcare, Finance, and IoT: Past, Present, and Future 173</b><br /><i>Chetna Tiwari and Anuradha</i></p> <p>8.1 Introduction 173</p> <p>8.2 Types of Blockchain 175</p> <p>8.3 Literature Review 177</p> <p>8.4 Methodology and Data Sources 188</p> <p>8.5 The Application of Blockchain Technology Across Various Industries 189</p> <p>8.6 Conclusion 199</p> <p><b>9 AI-Enabled Techniques for Intelligent Transportation System for Smarter Use of the Transport Network for Healthcare Services 205</b><br /><i>Meenakshi and Preeti Sharma</i></p> <p>9.1 Introduction 206</p> <p>9.2 Artificial Intelligence 208</p> <p>9.3 Artificial Intelligence: Transport System and Healthcare 209</p> <p>9.4 Artificial Intelligence Algorithms 211</p> <p>9.5 AI Workflow 215</p> <p>9.6 AI for ITS and e-Healthcare Tasks 216</p> <p>9.7 Intelligent Transportation, Healthcare, and IoT 218</p> <p>9.8 AI Techniques Used in ITS and e-Healthcare 221</p> <p>9.9 Challenges of AI and ML in ITS and e-Healthcare 223</p> <p>9.10 Conclusions 225</p> <p><b>10 Classification of Dementia Using Statistical First-Order and Second-Order Features 235</b><br /><i>Deepika Bansal and Rita Chhikara</i></p> <p>10.1 Introduction 236</p> <p>10.2 Materials and Methods 238</p> <p>10.3 Proposed Framework 239</p> <p>10.4 Experimental Results and Discussion 247</p> <p>10.5 Conclusion 251</p> <p><b>11 Pulmonary Embolism Detection Using Machine and Deep Learning Techniques 257</b><br /><i>Renu Vadhera, Meghna Sharma and Priyanka Vashisht</i></p> <p>11.1 Introduction 257</p> <p>11.2 The State-of-the-Art of PE Detection Models 260</p> <p>11.3 Literature Survey 261</p> <p>11.4 Publications Analysis 270</p> <p>11.5 Conclusion 270</p> <p><b>12 Computer Vision Techniques for Smart Healthcare Infrastructure 277</b><br /><i>Reshu Agarwal</i></p> <p>12.1 Introduction 278</p> <p>12.2 Literature Survey 280</p> <p>12.3 Proposed Idea 308</p> <p>12.4 Results 316</p> <p>12.5 Conclusion 317</p> <p><b>13 Energy-Efficient Fog-Assisted System for Monitoring Diabetic Patients with Cardiovascular Disease 323</b><br /><i>Rishita Khurana, Manika Choudhary, Akansha Singh and Krishna Kant Singh</i></p> <p>13.1 Introduction 324</p> <p>13.2 Literature Review 326</p> <p>13.3 Architectural Design of the Proposed Framework 328</p> <p>13.4 Fog Services 330</p> <p>13.5 Smart Gateway and Fog Services Implementation 337</p> <p>13.6 Cloud Servers 338</p> <p>13.7 Experimental Results 339</p> <p>13.8 Future Directions 345</p> <p>13.9 Conclusion 350</p> <p><b>14 Medical Appliances Energy Consumption Prediction Using Various Machine Learning Algorithms 353</b><br /><i>Kaustubh Pagar, Tarun Jain, Horesh Kumar, Aditya Bhardwaj and Rohit Handa</i></p> <p>14.1 Introduction 354</p> <p>14.2 Literature Review 355</p> <p>14.3 Methodology 356</p> <p>14.4 Machine Learning Algorithms Used 364</p> <p>14.5 Results and Analysis 368</p> <p>14.6 Model Analysis 369</p> <p>14.7 Conclusion and Future Work 374</p> <p><b>Part 3: Future of Blockchain and Deep Learning 379</b></p> <p><b>15 Deep Learning-Based Smart e-Healthcare for Critical Babies in Hospitals 381</b><br /><i>Ritam Dutta</i></p> <p>15.1 Introduction 382</p> <p>15.2 Literature Survey 383</p> <p>15.3 Evaluation Criteria 392</p> <p>15.4 Results 393</p> <p>15.5 Conclusion and Future Scope 394</p> <p><b>16 An Improved Random Forest Feature Selection Method for Predicting the Patient’s Characteristics 399</b><br /><i>K. Indhumathi and K. Sathesh Kumar</i></p> <p>16.1 Introduction 400</p> <p>16.2 Literature Survey 402</p> <p>16.3 Dataset 403</p> <p>16.4 Data Analysis 406</p> <p>16.5 Data Pre-Processing 407</p> <p>16.6 Feature Selection Methods 408</p> <p>16.7 Variable Importance by Machine Learning Methods 414</p> <p>16.8 Random Forest Feature Selection 415</p> <p>16.9 Proposed Methodology 418</p> <p>16.10 Results and Discussion 420</p> <p>16.11 Conclusion 421</p> <p><b>17 Blockchain and Deep Learning: Research Challenges, Open Problems, and Future 425</b><br /><i>Akansha Singh and Krishna Kant Singh</i></p> <p>17.1 Introduction 426</p> <p>17.2 Research Challenges 427</p> <p>17.3 Open Problems 428</p> <p>17.4 Future Possibilities 429</p> <p>17.5 Conclusion 430</p> <p>References 431</p> <p>Index 433</p>