Sheelu Sagar

Papers

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About

Sheelu Sagar is a researcher at the forefront of integrating computational intelligence with healthcare, specializing in medical diagnostics and risk stratification for critical diseases. Her most-cited work, "Risk Stratification for Subjects Suffering from Lung Carcinoma: Healthcare 4.0 Approach with Medical Diagnosis Using Computational Intelligence" (2021), exemplifies her pioneering contributions to the emerging field of Healthcare 4.0. In this study, Sagar developed a novel framework that leverages advanced computational methods—such as machine learning and intelligent algorithms—to enhance the accuracy and efficiency of lung carcinoma diagnosis and risk assessment. By applying these techniques to clinical data, her approach enables earlier detection and more personalized patient stratification, directly addressing a pressing need in oncology. With 4 citations, this paper has already begun to influence subsequent research in AI-driven healthcare solutions. Sagar’s work bridges the gap between cutting-edge technology and practical medical applications, offering a scalable model for integrating intelligent systems into routine clinical workflows. Her research not only advances the technical frontier of computational diagnostics but also holds tangible promise for improving patient outcomes in lung cancer care, marking her as a key contributor to the digital transformation of modern medicine.