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Patient length of stay is the most commonly employed outcome measure for hospital resource consumption and to monitor the performance of the hospital. Predicting the patient's length of stay in a hospital is an important aspect for effective planning at various levels. It helps in efficient utilization of resources and facilities. So, there exist a strong demand to make accurate and robust models to predict length of stay. This paper analyzes various methods for length of stay prediction, itsdoi:10.1109/icadiwt.2014.6814663 dblp:conf/icadiwt/PanchamiR14 fatcat:dfebjugf4bcufc4nkuqcwfdo4m