A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches. (arXiv:2201.00005v1 [cs.LG])

Hospital length of stay (LOS) is one of the most essential healthcare metrics
that reflects the hospital quality of service and helps improve hospital
scheduling and management. LOS prediction helps in cost management because
patients who remain in hospitals usually do so in hospital units where
resources are severely limited. In this study, we reviewed papers on LOS
prediction using machine learning and statistical approaches. Our literature
review considers research studies that focus on LOS prediction for stroke
patients. Some of the surveyed studies revealed that authors reached
contradicting conclusions. For example, the age of the patient was considered
an important predictor of LOS for stroke patients in some studies, while other
studies concluded that age was not a significant factor. Therefore, additional
research is required in this domain to further understand the predictors of LOS
for stroke patients.

Source: https://arxiv.org/abs/2201.00005


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