
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
Type 2 Diabetes is a chronic disease that is a major health concern across the globe.The disease is not only a huge financial burden but also a major cause of several comorbidities. In this POC We are using a National Health and Nutrition Examination Survey (NHANES) to predict Type 2 Diabetes from laboratory test results.We are using medications and labs data.The medications data contains diagnostics details where we select the patients with T2D. This includes laboratory measures that will be our predictors. We are using Logistic Regression to train model and rank the most predictive features.
Key Data
Version | |
By | Virtusa Corporation - vLife |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)
Support Information
AWS Infrastructure
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more
Refund Policy
This product is offered for free. If there are any questions, please contact us for further clarifications.