Thummisetti, B. S. P., & Atluri, H. (2024). Advancing Healthcare Informatics for Empowering Privacy and Security through Federated Learning Paradigms. International Journal of Sustainable Development in Computing Science, 1(1), 1-16.

Dr. Catherine Mitchell

Abstract


This paper investigates the evolving landscape of precision medicine and its intersection with big data analytics in healthcare. The abstract provides insights into how big data analytics can empower personalized treatment strategies, enabling more effective and targeted patient care. The paper discusses notable innovations in the field, examines challenges related to data privacy and ethical considerations, and outlines potential future advancements. By shedding light on the synergies between big data and precision medicine, this paper contributes to the ongoing dialogue on optimizing healthcare through data-driven approaches.

References


Thummisetti, B. S. P., & Atluri, H. (2024). Advancing Healthcare Informatics for Empowering Privacy and Security through Federated Learning Paradigms. International Journal of Sustainable Development in Computing Science, 1(1), 1-16.

Williams, E. K., & Brown, C. R. (2021). Reducing Healthcare Disparities: A Policy and Practice Perspective. Journal of Public Health Policy, 38(4), 521-537.

Chen, Y., & Patel, A. (2018). Artificial Intelligence in Healthcare: Current Applications and Future Directions. Health Information Science and Systems, 6(1), 1-11.

Rodriguez, M. L., & Garcia, A. B. (2022). Big Data Analytics for Healthcare: Challenges and Opportunities. Journal of Medical Systems, 46(5), 1-12.

Thompson, L. K., & Martin, D. W. (2019). Ethical Considerations in Precision Medicine Research: A Comprehensive Review. Journal of Bioethical Inquiry, 16(2), 231-247.

Reynolds, S. P., & Nguyen, H. T. (2020). Telemedicine and Its Impact on Rural Healthcare: A Case Study in the United States. Journal of Rural Health, 36(1), 123-136.

Patel, S. R., & Clark, A. L. (2021). Social Determinants of Health and Healthcare Disparities: A Comprehensive Review. Health Equity, 5(1), 97-105.

Atluri, H., & Thummisetti, B. S. P. (2023). Optimizing Revenue Cycle Management in Healthcare: A Comprehensive Analysis of the Charge Navigator System. International Numeric Journal of Machine Learning and Robots, 7(7), 1-13.


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