Raju Ranjan

About

Raju Ranjan is an emerging researcher in the intersection of machine learning and healthcare informatics. His most prominent work, "Disease Prediction Using Machine Learning (Health Buddy)" (2022), addresses a critical need accelerated by the COVID-19 pandemic: automating initial medical diagnosis through accessible technology. The paper introduces a Python-based graphical user interface application that leverages machine learning algorithms to predict diseases based on user-reported symptoms, aiming to robotize and streamline the traditional manual triage process. This contribution has already garnered 4 citations, signaling growing interest in his approach to democratizing preliminary healthcare screening. Ranjan's research focuses on developing practical, user-friendly AI tools that can reduce the burden on overstretched healthcare systems, particularly during global health crises. By combining machine learning with intuitive interface design, he is helping to bridge the gap between advanced computational methods and real-world clinical needs. His work represents a promising step toward more efficient, scalable, and accessible initial diagnosis systems, with potential applications ranging from remote patient monitoring to pandemic preparedness.

Research Focus

Key Achievements

Top Papers

1. 1
   Disease Prediction Using Machine Learning (Health Buddy)

   4 citations · 2022

Key Collaborators

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