Predicting Length of Stay Across Hospital Departments

The length of hospital stay and its implications have a significant economic human impact. As consequence, the prediction that key parameter has been subject to previous research in recent years. Most work analysed particular departments within specific study groups, which resulted successful rates, but only occasionally reporting predictive patterns. In this we report model for (LOS) together with trends patterns support better understanding on how LOS varies across different specialties. We also analyse from patient data is more insightful. After estimating predictions several were found; those allowed, instance, determine increase accuracy women admitted emergency room enteritis problems. Overall, concerning these recognised patterns, results are up 21.61% than baseline machine learning algorithms terms error rate calculation, 23.83% success number predicted useful guide decision where focus attention predicting LOS.