SepsisSense is an AI-powered clinical decision support application that predicts the risk of sepsis using machine learning based on 20 clinical features including vital signs and laboratory parameters.
Logistic Regression trained on the PhysioNet Sepsis Dataset.
Provides early risk prediction to support clinicians.
Python • Flask • Scikit-learn • HTML • CSS • JavaScript
This application is intended only for educational and clinical decision-support purposes. It should never replace professional medical judgement or diagnosis.
B.Tech Biotechnology (AI Specialization)
Karunya Institute of Technology and Sciences
Email: dhanish.b.bt@gmail.com
GitHub: https://github.com/dhanishb35
LinkedIn: linkedin.com/in/dhanishb27