Enhancing Data Privacy in Healthcare Systems Using Blockchain Technology
Abstract
Full Text:
PDFReferences
Atzori, L. (2017). Blockchain technology and decentralized governance: Is the state still necessary? Journal of Governance and Regulation, 6(1), 45-62.
Bai, X., & Zhang, Y. (2020). Blockchain-based privacy protection and security in healthcare systems: A survey. International Journal of Medical Informatics, 136, 104086.
Benet, P., & Garcia, F. (2018). Blockchain in healthcare: A survey and research directions. Healthcare Technology Letters, 5(4), 123-130.
Buterin, V. (2013). A next-generation smart contract and decentralized application platform. Ethereum Whitepaper.
Cao, Y., & Xu, X. (2021). Blockchain technology in healthcare: A systematic review. Healthcare Informatics Research, 27(3), 202-210.
Catalini, C., & Gans, J. S. (2016). Some Simple Economics of the Blockchain. MIT Sloan Research Paper.
Chien, H., & Chen, Y. (2019). Blockchain technology in healthcare: A comprehensive review and directions for future research. International Journal of Information Management, 47, 185-197.
Davuluri, M. (2022). Comparative Study of Machine Learning Algorithms in Predicting Diabetes Onset Using Electronic Health Records. Research-gate journal, 8(8).
Davuluri, M. (2020). AI-Driven Predictive Analytics in Patient Outcome Forecasting for Critical Care. Research-gate journal, 6(6).
Davuluri, M. (2018). Revolutionizing Healthcare: The Role of AI in Diagnostics, Treatment, and Patient Care Integration. International Transactions in Artificial Intelligence, 2(2).
Davuluri, M. (2018). Navigating AI-Driven Data Management in the Cloud: Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 1(1), 106-112.
Davuluri, M. (2017). Bridging the Healthcare Gap in Smart Cities: The Role of IoT Technologies in Digital Inclusion. International Transactions in Artificial Intelligence, 1(1).
Vattikuti, M. C. (2022). Comparative Analysis of Deep Learning Models for Tumor Detection in Medical Imaging. Research-gate journal, 8(8).
Deekshith, A. (2019). Integrating AI and Data Engineering: Building Robust Pipelines for Real-Time Data Analytics. International Journal of Sustainable Development in Computing Science, 1(3), 1-35.
Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).
Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.
Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).
Deekshith, A. (2023). Scalable Machine Learning: Techniques for Managing Data Volume and Velocity in AI Applications. International Scientific Journal for Research, 5(5).
DEEKSHITH, A. (2018). Seeding the Future: Exploring Innovation and Absorptive Capacity in Healthcare 4.0 and HealthTech. Transactions on Latest Trends in IoT, 1(1), 90-99.
DEEKSHITH, A. (2017). Evaluating the Impact of Wearable Health Devices on Lifestyle Modifications. International Transactions in Artificial Intelligence, 1(1).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
DEEKSHITH, A. (2015). Exploring the Foundations, Applications, and Future Prospects of Artificial Intelligence. International Journal of Sustainable Development in computer Science Engineering, 1(1).
DEEKSHITH, A. (2014). Neural Networks and Fuzzy Systems: A Synergistic Approach. Transactions on Latest Trends in Health Sector, 6(6).
Deekshith, A. (2023). Transfer Learning for Multilingual Speech Recognition in Low-Resource Languages. International Transactions in Machine Learning, 5(5).
Deekshith, A. (2021). AI-Driven Sentiment Analysis for Enhancing Customer Experience in E-Commerce. International Journal of Machine Learning for Sustainable Development, 3(2).
DEEKSHITH, A. (2019). From Clinics to Care: A Technological Odyssey in Healthcare and Medical Manufacturing. Transactions on Latest Trends in IoT, 2(2).
DEEKSHITH, A. (2018). Integrating IoT into Smart Cities: Advancing Urban Health Monitoring and Management. International Transactions in Artificial Intelligence, 2(2).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Vattikuti, M. C. (2020). A Comprehensive Review of AI-Based Diagnostic Tools for Early Disease Detection in Healthcare. Research-gate journal, 6(6).
Vattikuti, M. C. (2018). Leveraging Edge Computing for Real-Time Analytics in Smart City Healthcare Systems. International Transactions in Artificial Intelligence, 2(2).
Vattikuti, M. C. (2018). Leveraging AI for Sustainable Growth in AgTech: Business Models in the Digital Age. Transactions on Latest Trends in IoT, 1(1), 100-105.
Vattikuti, M. C. (2017). Ethical Framework for Integrating IoT in Urban Healthcare Systems. International Transactions in Artificial Intelligence, 1(1).
Vattikuti, M. C. (2016). The Rise of Big Data in Information Technology: Transforming the Digital Landscape. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Vattikuti, M. C. (2015). Harnessing Big Data: Transformative Implications and Global Impact of Data-Driven Innovations. International Journal of Sustainable Development in computer Science Engineering, 1(1).
Vattikuti, M. C. (2014). Core Principles and Applications of Big Data Analytics. Transactions on Latest Trends in Health Sector, 6(6).
Davuluri, M. (2016). Avoid Road Accident Using AI. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Davuluri, M. (2015). Integrating Neural Networks and Fuzzy Logic: Innovations and Practical Applications. International Journal of Sustainable Development in computer Science Engineering, 1(1).
Davuluri, M. (2014). The Evolution and Global Impact of Big Data Science. Transactions on Latest Trends in Health Sector, 6(6).
Davuluri, M. (2023). Optimizing Supply Chain Efficiency Through Machine Learning-Driven Predictive Analytics. International Meridian Journal, 5(5).
Davuluri, M. (2021). AI in Education: Personalized Learning Pathways Using Machine Learning Algorithms. International Meridian Journal, 3(3).
Davuluri, M. (2021). AI-Powered Crop Yield Prediction Using Multimodal Data Fusion. International Journal of Machine Learning for Sustainable Development, 3(2).
Davuluri, M. (2019). Cultivating Data Quality in Healthcare: Strategies, Challenges, and Impact on Decision-Making. Transactions on Latest Trends in IoT, 2(2).
Vattikuti, M. C. (2023). Reinforcement Learning for Personalized Education in Adaptive Learning Systems. International Transactions in Machine Learning, 5(5).
Vattikuti, M. C. (2023). Comparative Evaluation of AI Models for Predicting Stroke Risk Using Genetic and Lifestyle Factors. International Meridian Journal, 5(5).
Vattikuti, M. C. (2021). Machine Learning for Renewable Energy Optimization Forecasting Accuracy. International Meridian Journal, 3(3).
Vattikuti, M. C. (2019). Navigating Healthcare Data Management in the Cloud: Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 2(2).
Cong, L. W., & He, Z. (2019). Blockchain in healthcare: The next generation of healthcare services. Journal of Healthcare Engineering, 2019, 1-11.
Dinh, T. T. A., & Kim, H. K. (2020). Blockchain-based healthcare data management: A survey. Journal of Computer Networks and Communications, 2020, 1-12.
Guo, Y., & Liang, C. (2018). Blockchain application in healthcare data management: A survey. Journal of Medical Systems, 42(8), 141-150.
Hardjono, T., & Pentland, A. (2018). Blockchain for healthcare data security: A decentralized approach. MIT Media Lab.
Hwang, H., & Lee, J. (2020). Blockchain technology in healthcare: An overview. Journal of Digital Health, 6(1), 1-10.
Jain, S., & Ramaswamy, S. (2019). Blockchain in healthcare: Opportunities and challenges. Health Information Science and Systems, 7(1), 1-10.
Kuo, T. T., & Liu, J. (2017). Blockchain in healthcare applications: A survey. Healthcare Management Review, 42(4), 357-366.
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Bitcoin.org.
Puthal, D., & Sahoo, B. (2019). Blockchain for healthcare: A comprehensive survey. Journal of Computer Science and Technology, 34(5), 951-965.
Saberi, S., & Sadeghi, M. (2019). Blockchain applications in healthcare: A systematic review. Journal of Health Informatics Research, 5(1), 67-85.
Kolla, V. R. K. (2020). Forecasting the Future of Crypto currency: A Machine Learning Approach for Price Prediction. International Research Journal of Mathematics, Engineering and IT, 7(12).
Kolla, V. R. K. (2018). Forecasting the Future: A Deep Learning Approach for Accurate Weather Prediction. International Journal in IT & Engineering (IJITE).
Kolla, V. R. K. (2016). Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques. International Journal of Creative Research Thoughts.
Kolla, V. R. K. (2015). Heart Disease Diagnosis Using Machine Learning Techniques In Python: A Comparative Study of Classification Algorithms For Predictive Modeling. International Journal of Electronics and Communication Engineering & Technology.
Boppiniti, S. T. (2021). Real-time data analytics with ai: Leveraging stream processing for dynamic decision support. International Journal of Management Education for Sustainable Development, 4(4).
Boppiniti, S. T. (2022). Exploring the Synergy of AI, ML, and Data Analytics in Enhancing Customer Experience and Personalization. International Machine learning journal and Computer Engineering, 5(5).
Boppiniti, S. T. (2019). Machine Learning for Predictive Analytics: Enhancing Data-Driven Decision-Making Across Industries. International Journal of Sustainable Development in Computing Science, 1(3).
Boppiniti, S. T. (2020). Big Data Meets Machine Learning: Strategies for Efficient Data Processing and Analysis in Large Datasets. International Journal of Creative Research In Computer Technology and Design, 2(2).
Boppiniti, S. T. (2023). Data Ethics in AI: Addressing Challenges in Machine Learning and Data Governance for Responsible Data Science. International Scientific Journal for Research, 5(5).
BOPPINITI, S. T. (2018). Human-Centric Design for IoT-Enabled Urban Health Solutions: Beyond Data Collection. International Transactions in Artificial Intelligence, 2(2).
BOPPINITI, S. T. (2018). Unraveling the Complexities of Healthcare Data Governance: Strategies, Challenges, and Future Directions. Transactions on Latest Trends in IoT, 1(1), 73-89.
BOPPINITI, S. T. (2017). Privacy-Preserving Techniques for IoT-Enabled Urban Health Monitoring: A Comparative Analysis. International Transactions in Artificial Intelligence, 1(1).
BOPPINITI, S. T. (2016). Core Standards and Applications of Big Data Analytics. International Journal of Sustainable Development in computer Science Engineering, 2(2).
BOPPINITI, S. T. (2015). Revolutionizing Industries with Machine Learning: A Global Insight. International Journal of Sustainable Development in computer Science Engineering, 1(1).
BOPPINITI, S. T. (2014). Emerging Paradigms in Robotics: Fundamentals and Future Applications. Transactions on Latest Trends in Health Sector, 6(6).
Boppiniti, S. T. (2023). AI-Powered Disease Outbreak Prediction Using Environmental and Social Data. International Transactions in Machine Learning, 5(5).
Boppiniti, S. T. (2021). AI-Based Cybersecurity for Threat Detection in Real-Time Networks. International Journal of Machine Learning for Sustainable Development, 3(2).
BOPPINITI, S. T. (2019). Revolutionizing Healthcare Data Management: A Novel Master Data Architecture for the Digital Era. Transactions on Latest Trends in IoT, 2(2).
Kolla, V. R. K. (2020). Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification. International Journal of Computer Engineering and Technology.
Kolla, V. R. K. (2016). Forecasting Laptop Prices: A Comparative Study of Machine Learning Algorithms for Predictive Modeling. International Journal of Information Technology & Management Information System.
Kolla, V. R. K. (2021). Cyber security operations centre ML framework for the needs of the users. International Journal of Machine Learning for Sustainable Development, 3(3), 11-20.
Kolla, V. R. K. (2021). Prediction in Stock Market using AI. Transactions on Latest Trends in Health Sector, 13(13).
Kolla, V. R. K. (2020). India’s Experience with ICT in the Health Sector. Transactions on Latest Trends in Health Sector, 12(12).
Kolla, V. R. K. (2021). A Secure Artificial Intelligence Agriculture Monitoring System.
Kolla, V. R. K. (2023). The Future of IT: Harnessing the Power of Artificial Intelligence. International Journal of Sustainable Development in Computing Science, 5(1).
Tapscott, D., & Tapscott, A. (2016). Blockchain revolution: How the technology behind bitcoin and other cryptocurrencies is changing the world. Penguin.
Tsai, H., & Wang, J. (2020). Blockchain technology in healthcare: A review and future directions. International Journal of Computer Applications, 175(2), 33-39.
Zohdy, M. A., & Wang, L. (2018). Blockchain technology for healthcare data management: Challenges and opportunities. Journal of Healthcare Engineering, 2018, 1-9.
Velaga, S. P. (2014). DESIGNING SCALABLE AND MAINTAINABLE APPLICATION PROGRAMS. IEJRD-International Multidisciplinary Journal, 1(2), 10.
Velaga, S. P. (2016). LOW-CODE AND NO-CODE PLATFORMS: DEMOCRATIZING APPLICATION DEVELOPMENT AND EMPOWERING NON-TECHNICAL USERS. IEJRD-International Multidisciplinary Journal, 2(4), 10.
Velaga, S. P. (2017). “ROBOTIC PROCESS AUTOMATION (RPA) IN IT: AUTOMATING REPETITIVE TASKS AND IMPROVING EFFICIENCY. IEJRD-International Multidisciplinary Journal, 2(6), 9.
Velaga, S. P. (2018). AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS. International Journal of Innovations in Engineering Research and Technology, 5(2), 78-85.
Velaga, S. P. (2020). AIASSISTED CODE GENERATION AND OPTIMIZATION: LEVERAGING MACHINE LEARNING TO ENHANCE SOFTWARE DEVELOPMENT PROCESSES. International Journal of Innovations in Engineering Research and Technology, 7(09), 177-186.
Gatla, T. R. An innovative study exploring revolutionizing healthcare with ai: personalized medicine: predictive diagnostic techniques and individualized treatment. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. ENHANCING CUSTOMER SERVICE IN BANKS WITH AI CHATBOTS: THE EFFECTIVENESS AND CHALLENGES OF USING AI-POWERED CHATBOTS FOR CUSTOMER SERVICE IN THE BANKING SECTOR (Vol. 8, No. 5). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Gatla, T. R. (2017). A SYSTEMATIC REVIEW OF PRESERVING PRIVACY IN FEDERATED LEARNING: A REFLECTIVE REPORT-A COMPREHENSIVE ANALYSIS. IEJRD-International Multidisciplinary Journal, 2(6), 8.
Gatla, T. R. (2019). A CUTTING-EDGE RESEARCH ON AI COMBATING CLIMATE CHANGE: INNOVATIONS AND ITS IMPACTS. INNOVATIONS, 6(09).
Gatla, T. R. “A GROUNDBREAKING RESEARCH IN BREAKING LANGUAGE BARRIERS: NLP AND LINGUISTICS DEVELOPMENT. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. (2018). AN EXPLORATIVE STUDY INTO QUANTUM MACHINE LEARNING: ANALYZING THE POWER OF ALGORITHMS IN QUANTUM COMPUTING. International Journal of Emerging Technologies and Innovative Research (www. jetir. org), ISSN, 2349-5162.
Gatla, T. R. MACHINE LEARNING IN DETECTING MONEY LAUNDERING ACTIVITIES: INVESTIGATING THE USE OF MACHINE LEARNING ALGORITHMS IN IDENTIFYING AND PREVENTING MONEY LAUNDERING SCHEMES (Vol. 6, No. 7, pp. 4-8). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Gatla, T. R. (2020). AN IN-DEPTH ANALYSIS OF TOWARDS TRULY AUTONOMOUS SYSTEMS: AI AND ROBOTICS: THE FUNCTIONS. IEJRD-International Multidisciplinary Journal, 5(5), 9.
Gatla, T. R. A Next-Generation Device Utilizing Artificial Intelligence For Detecting Heart Rate Variability And Stress Management.
Gatla, T. R. (2023). MACHINE LEARNING IN CREDIT RISK ASSESSMENT: ANALYZING HOW MACHINE LEARNING MODELS ARE.
Gatla, T. R. (2022). BLOCKCHAIN AND AI INTEGRATION FOR FINANCIAL.
Gatla, T. R. A CRITICAL EXAMINATION OF SHIELDING THE CYBERSPACE: A REVIEW ON THE ROLE OF AI IN CYBER SECURITY.
Gatla, T. R. REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE.
Pindi, V. (2018). NATURAL LANGUAGE PROCESSING(NLP) APPLICATIONS IN HEALTHCARE: EXTRACTING VALUABLE INSIGHTS FROM UNSTRUCTURED MEDICAL DATA. International Journal of Innovations in Engineering Research and Technology, 5(3), 1-10.
Pindi, V. (2019). A AI-ASSISTED CLINICAL DECISION SUPPORT SYSTEMS: ENHANCING DIAGNOSTIC ACCURACY AND TREATMENT RECOMMENDATIONS. International Journal of Innovations in Engineering Research and Technology, 6(10), 1-10.
PINDI, V. (2022). ETHICAL CONSIDERATIONS AND REGULATORY COMPLIANCE IN IMPLEMENTING AI SOLUTIONS FOR HEALTHCARE APPLICATIONS. IEJRD-International Multidisciplinary Journal, 5(5), 11.
Refbacks
- There are currently no refbacks.