Evaluating the Development of a Machine Learning Model for Predicting Length of Stay for Inpatients in a Tertiary General Hospital

This study demonstrates that ML models can effectively predict hospital length of stay, aiding in hospital resource management, nursing workforce allocation, and patient safety interventions. The integration of predictive analytics into healthcare systems can support early risk assessment, personalized discharge planning, and overall hospital efficiency.