Sold by: Virtusa Corporation - vLife
Deployed on AWS
Machine Learning model to classify subjects’ susceptibility to lung cancer based on demographics, clinical measures and behavioral features.
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.
Highlights
- Easy-to-use model quickly determines whether a patients's observations can be used to predict the likeliness of disease.
- Provides the most realistic scenario as it is trained on a large dataset capturing all possible patterns.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m4.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m4.xlarge instance type, real-time mode | $0.00 |
ml.m4.xlarge Inference (Batch) Recommended | Model inference on the ml.m4.xlarge instance type, batch mode | $0.00 |
ml.m4.4xlarge Inference (Real-Time) | Model inference on the ml.m4.4xlarge instance type, real-time mode | $0.00 |
ml.m5.4xlarge Inference (Real-Time) | Model inference on the ml.m5.4xlarge instance type, real-time mode | $0.00 |
ml.m4.16xlarge Inference (Real-Time) | Model inference on the ml.m4.16xlarge instance type, real-time mode | $0.00 |
ml.m5.2xlarge Inference (Real-Time) | Model inference on the ml.m5.2xlarge instance type, real-time mode | $0.00 |
ml.p3.16xlarge Inference (Real-Time) | Model inference on the ml.p3.16xlarge instance type, real-time mode | $0.00 |
ml.m4.2xlarge Inference (Real-Time) | Model inference on the ml.m4.2xlarge instance type, real-time mode | $0.00 |
ml.c5.2xlarge Inference (Real-Time) | Model inference on the ml.c5.2xlarge instance type, real-time mode | $0.00 |
ml.p3.2xlarge Inference (Real-Time) | Model inference on the ml.p3.2xlarge instance type, real-time mode | $0.00 |
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
More info @ virtusa.com/vlife
Additional details
Inputs
- Summary
Lung Cancer Patient Identifier. See Notebook for additional information.
- Input MIME type
- text/csv
See Input Summary
See Input Summary
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Identify risk of being diagnosed with Lung Cancer
This listing consists of a dataset containing the complete Electronic Medical Records related to lung cancer related disease conditions over 1000 patients within the United States. The data is simulated based on clinical knowledge and census demographics.
This listing consists of a dataset containing the complete Electronic Medical Records related to veteran lung cancer related disease conditions over 1000 patients within the United States. The data is simulated based on clinical knowledge and census demographics.
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