Operative Bleeding Predictor
An exploratory model built in R that estimates surgical bleeding risk from pre-operative patient data and emphasizes interpretable inputs.
Clinical Need
Estimating operative bleeding risk before surgery may help clinicians plan more carefully. This project explored machine learning techniques for turning pre-operative patient data into a risk score.
The Model
Built in R using statistical and machine learning techniques, the prototype analyzes pre-operative variables to estimate bleeding risk. The interface emphasizes interpretable factor contributions instead of presenting an opaque score alone.
Scope and Limits
This was an exploratory modeling project, not a clinically validated or deployed product. The case-study visual uses synthetic values to explain the method and should not be read as a patient result, diagnosis, or medical guidance.