U Dhannushree

Kalasalingam Academy of Research and Education

Papers

Total Citations

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About

U Dhannushree is a researcher at the forefront of data-driven healthcare innovation, specializing in the integration of data analytics, machine learning, and intelligent systems to transform medical decision-making. Her most impactful contribution is the development of a comprehensive framework for data analytics-based healthcare systems, published in 2021 and cited 51 times, which provides a scalable architecture for processing heterogeneous clinical data to enable real-time diagnostics, predictive modeling, and personalized treatment planning. This work has been instrumental in bridging the gap between raw healthcare data and actionable insights, offering a blueprint for deploying analytics in resource-constrained settings. Dhannushree’s research emphasizes the practical application of computational methods to improve patient outcomes, reduce diagnostic errors, and optimize hospital workflows. Her notable achievement lies in demonstrating how structured analytics frameworks can democratize access to advanced healthcare technologies, making her a key voice in the emerging field of health informatics. With a growing citation record reflecting the relevance of her work, Dhannushree continues to explore the intersection of data science and clinical practice, inspiring students and researchers to harness analytics for societal benefit.