{"product_id":"the-impact-of-algorithmic-technologies-on-healthcare-hardback-9781394305469","title":"The Impact of Algorithmic Technologies on Healthcare (Hardback) 9781394305469","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eThe Impact of Algorithmic Technologies on Healthcare\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eParul Dubey (Edited by), Dubey (Author), Mangala Madankar (Edited by), Pushkar Dubey (Edited by), Bui Thanh Hung (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394305469, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 January 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e480 pages\u003cbr\u003e25 x 15 x 1.5 cm, 0.794 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThe book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThis book provides an in-depth account of how technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are reshaping healthcare, transitioning from traditional diagnostic and treatment approaches to data-driven solutions that improve predictive accuracy and patient outcomes. The text also addresses the challenges and considerations associated with adopting these technologies, including ethical implications, data security concerns, and the need for human-centered approaches in algorithmic medicine. \u003c\/p\u003e\n\u003cp\u003eAfter introducing digital twin technology and its potential to enhance healthcare delivery, the book examines the broader effects of digital technology on the healthcare system. Subsequent chapters explore topics such as innovations in medical imaging, predictive analytics for improved patient outcomes, and deep learning algorithms for brain tumor detection. Other topics include generative adversarial networks (GANs), convolutional neural networks (CNNs), smart wearables for remote patient monitoring, effective IoT solutions, telemedicine advancements, and blockchain security for healthcare systems. The integration of biometric systems driven by AI, securing cyber-physical systems in healthcare, and digitizing wellness through electronic health records (EHRs) and electronic medical records (EMRs) are also discussed. The book concludes with an extensive case study comparing the impacts of various healthcare applications, offering insights and encouraging further research and innovation in this dynamic field. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThis book is suitable for academicians and professionals in health informatics, bioinformatics, biomedical science and engineering, artificial intelligence, as well as clinicians, IT specialists, and policymakers in healthcare.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction to Algorithmic Health: Exploring Healthcare Through Digital Twins 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eA.S. Vinay Raj, N. Gopinath, R. Anandh, M. Mohammed Jalaluddin and Lyndsay R. Buckingham\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Related Works 3\u003c\/p\u003e \u003cp\u003e1.3 Hardware Description 6\u003c\/p\u003e \u003cp\u003e1.4 Methodology 12\u003c\/p\u003e \u003cp\u003e1.5 Performance Analysis 21\u003c\/p\u003e \u003cp\u003e1.6 Conclusion 22\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The Digital Revolution in Healthcare 27\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDevanand Bhonsle, Rama Shukla, Deepshikha Sahu, Tanuja Kashyap, Monika Dewangan and Seema Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 27\u003c\/p\u003e \u003cp\u003e2.2 Digital Technologies in the Healthcare Sector 30\u003c\/p\u003e \u003cp\u003e2.3 Evolution of Digitalization in Business 31\u003c\/p\u003e \u003cp\u003e2.4 Role of IoMT in Healthcare 33\u003c\/p\u003e \u003cp\u003e2.5 Internet of Medical Things Devices 35\u003c\/p\u003e \u003cp\u003e2.6 Security and Privacy in the Healthcare Sector 36\u003c\/p\u003e \u003cp\u003e2.7 Eliminating Security and Privacy Concerns of Digitalization of the Healthcare Sector 37\u003c\/p\u003e \u003cp\u003e2.8 Discussion 39\u003c\/p\u003e \u003cp\u003e2.9 Future Works 39\u003c\/p\u003e \u003cp\u003e2.10 Conclusion 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Data-Driven Diagnostics: Deep Learning for Brain Tumor Classification 45\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAstha Pathak and Lalita Panika\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 45\u003c\/p\u003e \u003cp\u003e3.2 Literature Review 47\u003c\/p\u003e \u003cp\u003e3.3 Methodology 52\u003c\/p\u003e \u003cp\u003e3.4 Result Analysis 55\u003c\/p\u003e \u003cp\u003e3.5 Conclusion 57\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Predictive Analysis in Patient Care 61\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBolukonda Prashanth, Bandi Krishna, Rakesh Nayak, Umashankar Ghugar and Arunakranthi Godishala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 62\u003c\/p\u003e \u003cp\u003e4.2 Review of Predictive Analysis 68\u003c\/p\u003e \u003cp\u003e4.3 Conclusion and Future 80\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Leveraging Predictive Analytics: Enhancing Brain Tumor Classification with XGBoost 85\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKatakam Hemanvitha and Vikram Dhiman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 86\u003c\/p\u003e \u003cp\u003e5.2 Literature Review 87\u003c\/p\u003e \u003cp\u003e5.3 Methodology 93\u003c\/p\u003e \u003cp\u003e5.4 Results and Discussion 97\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Machine Learning in Medical Imaging Revolutionizing Lung Cancer Diagnosis: A Comparative Analysis of Convolutional Neural Networks and Vision Transformers in Medical Imaging 103\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePriya Parkhi, Bhagyashree Hambarde, Himesh Gangwani, Rupali Vairagade and Fred Kalombo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 104\u003c\/p\u003e \u003cp\u003e6.2 Literature Review 108\u003c\/p\u003e \u003cp\u003e6.3 Description of Model 110\u003c\/p\u003e \u003cp\u003e6.4 Methodology 113\u003c\/p\u003e \u003cp\u003e6.5 Results 118\u003c\/p\u003e \u003cp\u003e6.6 Conclusion 124\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Innovations in AI and ML for Medical Imaging: An Extensive Study with an Emphasis on Face Spoofing Detection and Snooping 127\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAparna Pandey, Arvind Kumar Tiwari, Harsha Nishad and Siji A. Thomas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 128\u003c\/p\u003e \u003cp\u003e7.2 Artificial Intelligence as Well as Device Understandings 132\u003c\/p\u003e \u003cp\u003e7.3 Assaults Through Entrance Spoofing 138\u003c\/p\u003e \u003cp\u003e7.4 A Case Study with Real-Time Narrative: Identifying Face Spoofing in Medical Imaging 144\u003c\/p\u003e \u003cp\u003e7.5 Moral Factors to Consider 146\u003c\/p\u003e \u003cp\u003e7.6 Discussion 149\u003c\/p\u003e \u003cp\u003e7.7 Summary 150\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Progressive Growing of Generative Adversarial Networks (PGGAN) Approach to Synthesize Medical Images 157\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVishal V. Raner, Amit D. Joshi, Suraj T. Sawant and Tamizharasan P. S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 158\u003c\/p\u003e \u003cp\u003e8.2 Literature Review 160\u003c\/p\u003e \u003cp\u003e8.3 Methodology 162\u003c\/p\u003e \u003cp\u003e8.4 Results and Discussion 167\u003c\/p\u003e \u003cp\u003e8.5 Conclusions 173\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Revolutionizing Healthcare Through Optimized Video Retrieval 177\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePratibha Singh and Alok Kumar Singh Kushwaha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 178\u003c\/p\u003e \u003cp\u003e9.2 Literature Review 180\u003c\/p\u003e \u003cp\u003e9.3 Methodology 182\u003c\/p\u003e \u003cp\u003e9.4 Results and Discussion 184\u003c\/p\u003e \u003cp\u003e9.5 Conclusion 186\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Multiclass Classification of Oral Diseases Using Deep Learning Models 189\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMohammed Zubair Hussain, Shrey Gupta, Bhagyashree Hambarde, Priya Parkhi and Zafar Karimov\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 190\u003c\/p\u003e \u003cp\u003e10.2 Literature Review 191\u003c\/p\u003e \u003cp\u003e10.3 Methodology 193\u003c\/p\u003e \u003cp\u003e10.4 Results 202\u003c\/p\u003e \u003cp\u003e10.5 Conclusion 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Smart Wearable Devices for Remote Patient Monitoring in Healthcare 209\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRavi Mishra, Swati Chaitandas Hadke, Devanand Bhonsle, Priti Nilesh Bhagat, Anupama Mahabansi and Sheetal Mungale\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 210\u003c\/p\u003e \u003cp\u003e11.2 Wearable Devices for Remote Monitoring 213\u003c\/p\u003e \u003cp\u003e11.3 Communication Technologies for Remote Healthcare Monitoring 218\u003c\/p\u003e \u003cp\u003e11.4 Proposed Methodology 219\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Efficient IoT Solutions for Remote Health Monitoring 225\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVijayakumar S., N. Sheik Hameed, Kanchan S. Tiwari, A. Allwyn Sundarraj, N. Gopinath and Lyndsay R. Buckingham\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 226\u003c\/p\u003e \u003cp\u003e12.2 Related Works 228\u003c\/p\u003e \u003cp\u003e12.3 Methodology 231\u003c\/p\u003e \u003cp\u003e12.4 Discussion 246\u003c\/p\u003e \u003cp\u003e12.5 Conclusion 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Smart Medication Dispensing: IoT Innovations in Drug Development 255\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSapna Singh Kshatri, Mukesh Kumar Chandrakar, Devanand Bhonsle, Manjushree Nayak, Prashant Tamrakar and Pramisha Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 256\u003c\/p\u003e \u003cp\u003e13.2 Problem Identification 258\u003c\/p\u003e \u003cp\u003e13.3 Proposed Method 259\u003c\/p\u003e \u003cp\u003e13.4 Applications 266\u003c\/p\u003e \u003cp\u003e13.5 Use of ATMEGA328P Using Arduino 268\u003c\/p\u003e \u003cp\u003e13.6 Software Used 272\u003c\/p\u003e \u003cp\u003e13.7 Result and Discussion 274\u003c\/p\u003e \u003cp\u003e13.8 Conclusion 275\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Telemedicine and Virtual Health: Pioneering Innovation and Future Frontiers in Personalized Patient Care 279\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eR. Rahul, R. Raghul Jayaprakash, M. Shibhi Varmaah and S. Velmurugan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction to Telemedicine and Virtual Health 280\u003c\/p\u003e \u003cp\u003e14.2 Challenges in Telemedicine 283\u003c\/p\u003e \u003cp\u003e14.3 Artificial Intelligence in Telemedicine 289\u003c\/p\u003e \u003cp\u003e14.4 Neurofeedback and Brain-Computer Interfaces (BCIs) in Telemedicine 292\u003c\/p\u003e \u003cp\u003e14.5 Blockchain Technology in Virtual Healthcare 297\u003c\/p\u003e \u003cp\u003e14.6 Telemedicine for Personalized Patient Care 301\u003c\/p\u003e \u003cp\u003e14.7 Future Directions of Telemedicine in Healthcare 307\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Blockchain Algorithm: Revolutionizing Healthcare Systems 313\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRitika Awasthi and Arvind Tiwari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 314\u003c\/p\u003e \u003cp\u003e15.2 How Blockchain can Relate to Healthcare 315\u003c\/p\u003e \u003cp\u003e15.3 Literature Review 317\u003c\/p\u003e \u003cp\u003e15.4 Features of Blockchain 320\u003c\/p\u003e \u003cp\u003e15.5 Blockchain Algorithms 323\u003c\/p\u003e \u003cp\u003e15.6 Network Model in Blockchain Algorithm 329\u003c\/p\u003e \u003cp\u003e15.7 Data Collection and Storage 335\u003c\/p\u003e \u003cp\u003e15.8 Diversity in Blockchain Technology 337\u003c\/p\u003e \u003cp\u003e15.9 Limitations of Blockchain 339\u003c\/p\u003e \u003cp\u003e15.10 Conclusion 341\u003c\/p\u003e \u003cp\u003e15.11 Future Work 342\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Enhancing Cyber-Physical System Security in Healthcare Through Ensemble Learning, Blockchain and Multi-Attribute Feature Selection 349\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJagdish Pimple and Avinash Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 350\u003c\/p\u003e \u003cp\u003e16.2 Literature Survey 355\u003c\/p\u003e \u003cp\u003e16.3 Identification of the Problem 362\u003c\/p\u003e \u003cp\u003e16.4 Objectives 363\u003c\/p\u003e \u003cp\u003e16.5 Proposed Methodology 364\u003c\/p\u003e \u003cp\u003e16.6 Result and Discussion 367\u003c\/p\u003e \u003cp\u003e16.7 Conclusion and Future Work 371\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Digitizing Wellness: A Deep Dive Into EHR\/EMR Systems 375\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eParul Dubey, Anansingh Thinakaran and Rajendra Motiramji Rewatkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 376\u003c\/p\u003e \u003cp\u003e17.2 Literature Review 376\u003c\/p\u003e \u003cp\u003e17.3 AWS and Healthcare Solutions 378\u003c\/p\u003e \u003cp\u003e17.4 AWS Services for Healthcare 379\u003c\/p\u003e \u003cp\u003e17.5 Building EHR\/EMR Solutions on AWS 381\u003c\/p\u003e \u003cp\u003e17.6 Innovating with AI and Analytics 383\u003c\/p\u003e \u003cp\u003e17.7 Case Studies 388\u003c\/p\u003e \u003cp\u003e17.8 Proposed Architecture Overview 390\u003c\/p\u003e \u003cp\u003e17.9 Conclusion 392\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Harmony in Healthcare: Implementing an AI-Powered Biometric System 397\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eS. Sharmila, M. Nirmala, Somasundaram Devaraj and M. Menagadevi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction to Biometric System 398\u003c\/p\u003e \u003cp\u003e18.2 Types of Biometric Systems 398\u003c\/p\u003e \u003cp\u003e18.3 Biometrics in Healthcare Application 404\u003c\/p\u003e \u003cp\u003e18.4 Biometric System for Monitoring and Disease Diagnosis 409\u003c\/p\u003e \u003cp\u003e18.5 Future Direction of Biometrics in Personalized Care 415\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Investigating the Revolution of Healthcare Application with Intense Comparisons and Case Study 421\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAmudhavalli P., S. Urmela, Vishnupriya G., N. Gopinath, R. Anandh and Lyndsay R. Buckingham\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 422\u003c\/p\u003e \u003cp\u003e19.2 Digital Twin 424\u003c\/p\u003e \u003cp\u003e19.3 Case Study--Healthcare Applications 434\u003c\/p\u003e \u003cp\u003e19.4 Future Research Ideas 440\u003c\/p\u003e \u003cp\u003e19.5 Conclusion 441\u003c\/p\u003e \u003cp\u003eReferences 442\u003c\/p\u003e \u003cp\u003eIndex 447\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Other branches of medicine [\u003ca title=\"See our other books on Other branches of medicine\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Other%20branches%20of%20medicine%20%5BMM%5D%22\"\u003eMM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433526489368,"sku":"9781394305469","price":138.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394305469.jpg?v=1784853436","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/the-impact-of-algorithmic-technologies-on-healthcare-hardback-9781394305469","provider":"Freshly Printed Books","version":"1.0","type":"link"}