Predict 30-day readmission risk and get personalized intervention recommendations
Fill out the patient information form and click "Calculate Risk" to generate a readmission risk assessment and personalized intervention recommendations.
This risk calculator uses a machine learning model trained on the UCI Diabetes 130-US hospitals dataset to predict the likelihood of patient readmission within 30 days.
The model analyzes multiple factors including patient demographics, clinical history, length of stay, medications, and diagnoses to generate a risk score and personalized intervention recommendations.
For research purposes, this calculator demonstrates how predictive analytics can be used to identify high-risk patients and implement targeted interventions to reduce readmission rates.