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ICU Stay Prediction AI Framework by rvamsi8083 is a document available to read on EtoBox.

What is ICU Stay Prediction AI Framework about?

The project report outlines the development of an Explainable AI framework aimed at accurately predicting ICU length of stay (LOS) to optimize hospital resource management. By analyzing patient health data, the system enhances bed utilization and improves patient care efficiency, while also providing insights into the factors influencing LOS. The implementation of this framework is expected to support better hospital management and align with sustainable health development goals.

Author

rvamsi8083

Language

EN