Big Data Analytics in Healthcare: Unlocking the Potential for Predictive Medicine
Abstract
Big data analytics is transforming healthcare by enabling predictive medicine and personalized treatment plans. This paper explores the application of big data techniques in healthcare, focusing on data collection, analysis, and utilization. Through case studies and current implementations, the study assesses how big data analytics can predict disease outbreaks, optimize treatment protocols, and improve patient outcomes.
References
Carter, E. (2024). Enhancing patient monitoring through IoT: A comprehensive analysis. Journal of Healthcare Informatics, 30(2), 150-168. https://doi.org/10.1016/j.jhi.2024.03.002
Thompson, J. (2024). Artificial intelligence in medical imaging: Improving diagnostic accuracy. Radiology and Imaging Sciences, 45(1), 22-39. https://doi.org/10.1148/radiol.2024240031
Mitchell, S. (2024). Telemedicine during COVID-19: Adoption, challenges, and future prospects. Telemedicine and e-Health, 28(4), 215-230. https://doi.org/10.1089/tmj.2024.0045
Williams, R. (2024). Wearable health devices: Transforming personal health management. Journal of Medical Devices, 12(3), 78-95. https://doi.org/10.1016/j.jmd.2024.06.007
Rodriguez, A. (2024). Big data analytics in healthcare: Unlocking the potential for predictive medicine. Journal of Health Data Science, 9(2), 100-118. https://doi.org/10.1016/j.jhds.2024.02.005
Johnson, D. (2024). Blockchain technology for secure and transparent health records. Journal of Digital Health, 15(2), 200-218. https://doi.org/10.1016/j.jdh.2024.05.004
Green, L. (2024). Robotics in surgery: Advancements and clinical outcomes. Surgical Innovations, 33(1), 45-62. https://doi.org/10.1177/1553350624
Brown, M. (2024). Personalized medicine: Integrating genomics and AI for tailored treatments. Journal of Personalized Medicine, 19(3), 110-128. https://doi.org/10.3390/jpm19030110
Lee, K. (2024). Mental health apps: Evaluating their effectiveness and accessibility. Journal of Mental Health Technology, 10(1), 55-70. https://doi.org/10.1016/j.jmht.2024.01.003
Adams, R. (2024). Augmented reality in medical training: Enhancing learning and simulation. Medical Education Today, 28(2), 90-105. https://doi.org/10.1016/j.met.2024.03.006
Gonaygunta, H. (2023). Factors Influencing the Adoption of Machine Learning Algorithms to Detect Cyber Threats in the Banking Industry. University of the Cumberlands.
Gonaygunta, H., Meduri, S. S., Podicheti, S., & Nadella, G. S. (2023). The Impact of Virtual Reality on Social Interaction and Relationship via Statistical Analysis. International Journal of Machine Learning for Sustainable Development, 5(2), 1-20
Molli, V. L. P. (2023). Alcohol Consumption and Peri-implantitis: Exploring the Relationship and Implications for Dental Implant Health. International Journal of Sustainable Development in Computing Science, 5(4), 1-11.
Molli, V. L. P. (2023). The Impact of Rheumatoid Arthritis on Peri-implantitis: Mechanisms, Management, and Clinical Implications. International Meridian Journal, 5(5), 1-10.
Molli, V. L. P. (2023). Understanding Vaccine Hesitancy: A Machine Learning Approach to Analyzing Social Media Discourse. International Journal of Medical Informatics and AI, 10(10), 1-14.
Molli, V. L. P. (2023). Blockchain Technology for Secure and Transparent Health Data Management: Opportunities and Challenges. Journal of Healthcare AI and ML, 10(10), 1-15.
Molli, V. L. P. (2023). Predictive Analytics for Hospital Resource Allocation during Pandemics: Lessons from COVID-19. International Journal of Sustainable Development in Computing Science, 5(1), 1-10.
Molli, V. K. P., Penmatsa, G., & Hsiao, C. Y. (2023). The Association of Rheumatoid Arthritis and Systemic Lupus Erythematosus with Failing Implants. SVOA Dentistry, 4, 1-05.
Molli, V. L. P. (2022). Effectiveness of AI-Based Chatbots in Mental Health Support: A Systematic Review. Journal of Healthcare AI and ML, 9(9), 1-11.
Molli, V. L. P. (2021). Exploring the Interplay between Diabetes Mellitus and Peri-implantitis: Mechanisms, Management, and Clinical Implications. International Meridian Journal, 3(3), 1-10.
Molli, V. L. P. (2021). Telemedicine Adoption in Rural Healthcare: Overcoming Barriers and Enhancing Access. International Journal of Holistic Management Perspectives, 2(2), 1-11.
Molli, V. L. P. (2021). Interplay Between Osteoporosis and Periodontitis: A Comprehensive Review of Mechanisms and Clinical Implications. International Journal of Creative Research In Computer Technology and Design, 3(3), 1-20.
Molli, V. L. P. (2021). Mitigating COVID-19 Transmission: A Machine Learning Approach to Contact Tracing Optimization. International Journal of Machine Learning for Sustainable Development, 3(2), 1-10.
Molli, V. L. P. (2021). Ethical Considerations in AI-Assisted Diagnosis: Balancing Privacy, Accuracy, and Patient Autonomy. International Journal of Machine Learning and Artificial Intelligence, 2(2), 1-10.
Molli, V. L. P. (2021). Microbiome Analysis of Aggregatibacter actinomycetemcomitans JP2 Clone and Non-Aggressive Periodontitis Subjects in Moroccan Population. Temple University.
Gonaygunta, H., Maturi, M. H., Nadella, G. S., Meduri, K., & Satish, S. (2024). Quantum Machine Learning: Exploring Quantum Algorithms for Enhancing Deep Learning Models. International Journal of Advanced Engineering Research and Science, 11(05).
Gonaygunta, H., Nadella, G. S., Pawar, P. P., & Kumar, D. (2024, May). Enhancing Cybersecurity: The Development of a Flexible Deep Learning Model for Enhanced Anomaly Detection. In 2024 Systems and Information Engineering Design Symposium (SIEDS) (pp. 79-84). IEEE.
Meduri, K. (2024). Cybersecurity threats in banking: Unsupervised fraud detection analysis. International Journal of Science and Research Archive, 11(2), 915-925.
Meduri, K., Nadella, G. S., Gonaygunta, H., & Meduri, S. S. (2023). Developing a Fog Computing-based AI Framework for Real-time Traffic Management and Optimization. International Journal of Sustainable Development in Computing Science, 5(4), 1-24.
Nadella, G. S., Gonaygunta, H., Meduri, K., & Satish, S. (2023). Adversarial Attacks on Deep Neural Network: Developing Robust Models Against Evasion Technique. Transactions on Latest Trends in Artificial Intelligence, 4(4).
Nadella, G. S., Meduri, S. S., Gonaygunta, H., & Podicheti, S. (2023). Understanding the Role of Social Influence on Consumer Trust in Adopting AI Tools. International Journal of Sustainable Development in Computing Science, 5(2), 1-18.
Nadella, G. S., Satish, S., Meduri, K., & Meduri, S. S. (2023). A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare. International Journal of Machine Learning for Sustainable Development, 5(3), 115-130.
Nadella, G. S. (2023). Validating the Overall Impact of IS on Educators in US High Schools Using IS-Impact Model–A Quantitative PLS-SEM Approach. University of the Cumberlands.
Nadella, G. S., & Pillai, S. E. V. S. (2024, March). Examining the Indirect Impact of Information and System Quality on the Overall Educators' Use of E-Learning Tools: A PLS-SEM Analysis. In SoutheastCon 2024 (pp. 360-366). IEEE.