Amazon SageMaker
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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
Lung cancer starts when cells of the lung become abnormal and begin to grow out of control. As more cancer cells develop, they form into a tumor. There are 2 main types of lung cancer as about 80% to 85% of lung cancers are non-small cell lung cancer (NSCLC) and about 10% to 15% are small cell lung cancer (SCLC). Early identification is pivotal in the success of the treatment. The model is trained on large dataset that simulates the real world data of US population and considers demographic, clinical and behavioral features for classification with at least 50% probability for a Positive Case.
Key Data
| Version | |
| By | Virtusa Corporation |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
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Support Information
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This product is offered for free. If there are any questions, please contact us for further clarifications.