Sold by: Persistent SystemsÂ
Deployed on AWS
Predicts hospital readmission rate of a patient using Random Forrest algorithm
Overview
Hospital readmission is an episode when a patient who had been discharged from a hospital is admitted again within a specified time interval. Readmission rates have increasingly been used as a quality benchmark for health systems. Hospital readmission rates were formally included in reimbursement decisions for the Centers for Medicare and Medicaid Services (CMS) as part of the Patient Protection and Affordable Care Act (ACA) of 2010, which penalizes health systems with higher than expected readmission rates through the Hospital Readmission Reduction Program.
Highlights
- Model trained on medical claims dataset.
- Model predicts Hospital readmission rate of a patient using Random forest algorithm.
- This model is not intended for medical diagnostic purpose.
Details
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Delivery method
Latest version
Deployed on AWS
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Delivery details
Amazon SageMaker model
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Version release notes
Initial release
Additional details
Inputs
- Summary
Classification model
- Input MIME type
- csv
See Input Summary
See Input Summary
Resources
Vendor resources
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