Polishetty Pranay
Papers
1
Total Citations
3
H-Index
1
About
Polishetty Pranay is a rising researcher at the intersection of machine learning and healthcare, with a primary focus on predictive diagnostics for chronic diseases. His most notable contribution is the development of a predictive model for Chronic Kidney Disease (CKD) diagnosis using a Random Forest Classifier, published in 2023 in *The International Journal of Computer Science Engineering and Its Research Trends* (IJCERT). This work, which has already garnered 3 citations, demonstrates his ability to apply robust ensemble learning techniques to critical medical challenges, offering a scalable, data-driven approach for early CKD detection. By leveraging clinical datasets, Pranay’s model enhances diagnostic accuracy, potentially reducing the burden on healthcare systems and improving patient outcomes. His research sits at the nexus of computational intelligence and nephrology, showcasing a commitment to translating algorithmic innovations into practical, life-saving tools. As an emerging voice in applied machine learning, Pranay’s work signals a promising trajectory toward more accessible and precise medical diagnostics, making him a researcher to watch in the evolving landscape of AI-driven healthcare.
Research Focus
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Top Papers
- 1