Length of Stay is a common predictive problem in the healthcare sector. This focuses on estimating the number of days an in-patient will stay in the hospital at the time of admission. 


- Hospitals can identify patients with high LOS and come up with a plan that prioritizes or optimizes their treatment in a way that reduces their LOS at the hospital. Reduced LOS reduces the risk of the patient contracting a staph infection or other hospital-acquired conditions. Predicted LOS also comes in handy in better management of the allocation of hospital beds, staff, and other resources for an in-patient.

- "U.S. hospital stays cost the health system at least $377.5 billion per year and recent Medicare legislation standardizes payments for procedures performed, regardless of the number of days a patient spends in the hospital". This also serves as an incentive for the hospital to predict LOS at the time of admission.

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