An Intelligent Multi-Stage Health Severity Prediction System Using Machine Learning Models

An Intelligent Multi-Stage Health Severity Prediction System Using Machine Learning Models

Authors- Shreeja M, Dr. D.R. Krithika

Abstract-This paper presents an intelligent multi-stage health severity prediction system leveraging machine learning models to assist healthcare providers in early and accurate assessment of patient conditions. The proposed system classifies health severity levels through successive stages, refining predictions at each stage using features from patient medical records, vitals, and laboratory results. Ensemble learning and advanced classification algorithms are employed to enhance prediction accuracy. The system aims to reduce diagnostic delays, prioritize critical cases, and support clinical decision-making. Experimental results using real-world healthcare datasets demonstrate the system’s effectiveness in improving prediction reliability and optimizing healthcare resource allocation.

DOI: /10.61463/ijset.vol.13.issue3.105