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Hospital length of stay (LOS) is one of the most essential healthcare metricsthat reflects the hospital quality of service and helps improve hospitalscheduling and management. LOS prediction helps in cost management becausepatients who remain in hospitals usually do so in hospital units whereresources are severely limited. In this study, we reviewed papers on LOSprediction using machine learning and statistical approaches. Our literaturereview considers research studies that focus on LOS prediction for strokepatients. Some of the surveyed studies revealed that authors reachedcontradicting conclusions. For example, the age of the patient was consideredan important predictor of LOS for stroke patients in some studies, while otherstudies concluded that age was not a significant factor. Therefore, additionalresearch is required in this domain to further understand the predictors of LOSfor stroke patients.

A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches