Sign in
Your Saved List Partners Sell in AWS Marketplace Amazon Web Services Home Help
Amazon SageMaker ×

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.

Type2Diabetes - Identifier

By: Virtusa Corporation - vLife Latest Version: 1

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

By Virtusa Corporation - vLife
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.

Customer Reviews