Predicting Length of Stay in Hospitals

> **Note:** You can read more about this solution and deployment guides in the [Predicting Hospital Length of Stay solution](https://github.com/Microsoft/r-server-hospital-length-of-stay) published on GitHub. > **Required preliminary agreement:** You need to accept the Terms of Use for the Data Science Virtual Machine on your Azure Subscription before you deploy this VM the first time. Click [here](https://portal.azure.com/#blade/Microsoft_Azure_Marketplace/LegalTermsSkuProgrammaticAccessBlade/legalTermsSkuProgrammaticAccessData/%7B%22product%22%3A%7B%22publisherId%22%3A%22microsoft-ads%22%2C%22offerId%22%3A%22standard-data-science-vm%22%2C%22planId%22%3A%22standard-data-science-vm%22%7D%7D) to agree to these terms. ## Overview This solution enables a predictive model for Length of Stay for in-hospital admissions. Length of Stay (LOS) is defined in number of days from the initial admit date to the date that the patient is discharged from any given hospital facility. There can be significant variation of LOS across various facilities and across disease conditions and specialties even within the same healthcare system. Advanced LOS prediction at the time of admission can greatly enhance the quality of care as well as operational workload efficiency and help with accurate planning for discharges resulting in lowering of various other quality measures such as readmissions. Read more about this solution, including step-by-step instructions on how to deploy it, at the [Predicting Hospital Length of Stay Website](https://microsoft.github.io/r-server-hospital-length-of-stay/). ## Pricing Your Azure subscription used for the deployment will incur consumption charges on the services used in this solution, approximately $4.12(USD)/hour for the default VM. >Please ensure that you stop your VM instance when not actively using the solution. Running the VM will incur higher costs. > >**Please delete the solution if you are not using it.** ## Disclaimer ©2017 Microsoft Corporation. All rights reserved. This information is provided "as-is" and may change without notice. Microsoft makes no warranties, express or implied, with respect to the information provided here. Third party data was used to generate the Solution. You are responsible for respecting the rights of others, including procuring and complying with relevant licenses in order to create similar datasets.