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Blockchain Technology in Healthcare - Concepts, Methodologies, and Applications (Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks)

معرفی کتاب «Blockchain Technology in Healthcare - Concepts, Methodologies, and Applications (Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks)» نوشتهٔ Drew Neil و Nilayam Kumar Kamila, Sujata Dash and Subhendu Kumar Pani، منتشرشده توسط نشر Bentham Science Publishers Pte. Ltd در سال 2023. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

Global Financial Analytics and Business Forecasting is a comprehensive guide that delves into the intricacies of financial analytics and forecasting in the modern global business landscape. Divided into 15 chapters, this book provides a holistic understanding of various aspects of financial analytics and their application in forecasting. In the first chapter, the book explores the dynamic world of Fintech in India, discussing the opportunities and challenges it presents. Readers gain insight into the rapid growth of Fintech in India, and the role of leading technology systems. The chapter also highlights the pivotal role of artificial intelligence in shaping financial markets and examines a case study on consumer preferences and satisfaction levels in the banking sector in the Republic of Moldova. Subsequent chapters explore the range of Fintech tools used in finance and unlock the predictive power of ARMA models on Algoquant Fintech's daily returns. The book further delves into the vast potential of big data in academic organizations, examining its opportunities and challenges. Readers gain valuable insights into the barriers and challenges faced by the Fintech industry and the applications of Fintech in banking. Machine learning algorithms take center stage in a dedicated chapter, showcasing their role in accelerating the development of business analytics. The book also emphasizes the significance of business intelligence in the financial sector, providing valuable strategies for effective decision-making. Examining the dynamic linkages between stock market indices and exchange rates for BRICS nations, the book sheds light on the complex interplay between these variables. Moreover, it introduces a new leadership pattern that advocates for an analytical approach to business decision-making. The book also explores how artificial intelligence can enable a granular finance approach tailored to the needs of less advantaged countries, businesses, and individuals. Global Financial Analytics and Business Forecasting is an essential resource for finance professionals, researchers, academicians, and students seeking a comprehensive understanding of financial analytics and its application in forecasting. Through its diverse range of topics, this book offers valuable insights, practical techniques, and emerging trends that equip readers with the knowledge necessary to thrive in the ever-evolving financial landscape. Cover Title Copyright End User License Agreement Contents Foreword Preface List of Contributors Utilizing Blockchain Technology to Improve Clinical Trials Sakthi Kumaresh1,*, Neha Sharma2 and Krishna Balu Priya Iyer1 1. INTRODUCTION 1.1. Background 1.2. The Problem 1.3. The Proposed Solution 2. LITERATURE SURVEY 3. UNDERSTANDING CLINICAL TRIAL 3.1. Introduction to Clinical Research 3.2. Stakeholders in Clinical Trails 3.3. Clinical Drug Development Phases 3.3.1. Phase 1: Discovery and Development 3.3.2. Phase 2: Pre- Clinical Research 3.3.3. Phase 3: Clinical Development 3.3.4. Phase 4: Regulatory Approval 3.3.5. Phase 5: Post-Market Monitoring 3.4. Steps in Clinical Trail 3.4.1. Stage 0: 3.4.2. Stage 1: 3.4.3. Stage 2: 3.4.4. Stage 3: 3.4.5. Stage 4: 3.5. Approval from the Regulatory Authority 3.6. Efficacy of Blockchain in Clinical Trials 4. CLINICAL DATA MANAGEMENT (CDM) 4.1. Introduction to Clinical Data Management 4.2. Mechanism 4.3. Data Management in Blockchain 4.3.1. Data Traceability with Security 4.3.2. Patients' Engagement and Consent Management 4.3.4. Reporting to Regulators 5. BLOCKCHAIN ARCHITECTURE 5.1. Permissioned Blockchain Architecture for Clinical Trial 6. CONSENSUS PROTOCOL 6.1. Proof of Elapsed Time (PoET) 6.2. Practical Byzantine Fault Tolerance (PBFT) 7. BLOCKCHAIN PLATFORM 7.1. Hyperledger Platform 7.1.1. Hyperledger Characteristics: 7.2. Stakeholders in Clinical Trial Blockchain Network 7.3. Partition Network Channels and Smart Contract 7.3.1. Smart Contract Enabled Roster Channel (SCERC) 7.3.2. Smart Contract Enabled Trial Tracking Channel (SCETTC) 7.3.3. Smart Contract Enabled Analysis Channel (SCEAC) 7.3.4. Smart Contract Enabled Reporting Channel (SCERC) 8. CHALLENGES IN IMPLEMENTING BLOCKCHAIN IN CLINICAL TRIAL 8.1. Security 8.1.1. Selfish Mining 8.2. Scalability 8.2.1. Throughput 8.2.2. Cost and Capacity 8.2.3. Networking 8.2.4. Ways to Solve the Problem of Scalability 8.3. Transparency CONCLUSION REFERENCES Securing Clinical Trials Data with Blockchain A Complete Review of Block Chain Technology in the Health Sector Blockchain and Clinical Trials for Health Informatics Blockchain Technology: A Vehicle for Efficient and Comprehensive Medical Application Solutions Blockchain: Blocking Hassles in Healthcare Advancing Health Research Data Analysis with Blockchain Technology Blockchain Technology as a Tool for Prediction and Prevention of the Spread of COVID-19 Blockchain Technology: The Future of Decentralized Applications Blockchain Distributed Ledger Technologies for Biomedical and Healthcare Applications Medical Imaging Systems Using Blockchain Effectiveness of Machine and Deep Learning for Blockchain Technology in Fraud Detection and Prevention A Blockchain Approach for Health Care Sector to Prevent Fraudulent Activities in Medical Records Subject Index Back Cover This volume reviews cutting-edge innovations in blockchain technology that are propelling the healthcare industry into a new era of efficiency and security. It brings 14 reviews contributed by experts in blockchain and Web3 technologies into a single volume. Each contribution includes a summary for easy understanding and scientific references for advanced readers. Key Themes: Empowering Decentralized Healthcare: Learn about the future of decentralized healthcare, powered by blockchain, ensuring a seamless and patient-centric experience. Clinical Trials: Discover how blockchain is reshaping clinical trials, offering a glimpse into a future of optimized medical research. Data Security: Uncover the strategic use of blockchain in securing vital clinical trials data, ensuring confidentiality and integrity at every step. Blockchain-based Healthcare delivery: Delve into a comprehensive review of blockchain technology in the health sector, revealing its potential to transform healthcare systems with efficient and precise solutions. Predict, Prevent, and Protect: Understand how blockchain technology serves as a predictive tool, aiding in the prevention and control of the spread of COVID-19. This volume is a must-read for healthcare practitioners and administrators seeking to harness the power of blockchain in medicine and healthcare. It also provides information for researchers and business professionals who want to understand the innovative role of blockchain technology in the healthcare sector. Readership: Researchers, healthcare professionals and administrators, blockchain enthusiasts. Series Intro: This series features edited volumes on cutting edge technologies that are driving innovation in various professional and academic sectors. It covers commuting methods (such as AI and blockchain) and technologies (such as IoT and cloud computing). The goal of the series is to highlight new trends in business, innovation and research, from researchers and professionals of all levels around the world. Chapters focus on reviewing the technologies and exploring the advantages and use-cases in different scenarios.
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