
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
This algorithm uses the scikit learn framework to predict hospital readmissions from EMR data, DRGs and billing data. The model predicts the probability that a patient will return to the hospital within a certain time period(30 days) or not. The predicted output is the % chance that the patient will not return/be readmitted.
Key Data
Version | |
By | TIBCO Software Inc. |
Categories | |
Type | Algorithm |
Fulfillment Methods | Amazon SageMaker
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Usage Information
Fulfillment Methods
Amazon SageMaker
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Support Information
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Refund Policy
NA