Sold by: ClosedLoop.ai
Deployed on AWS
Identifies people who are likely to have a heightened vulnerability to severe complications from COVID-19
Overview
The CV19 Index (http://cv19index.com ) is an open source, AI-based predictive model that identifies people likely to have heightened vulnerability to complications from COVID-19. The index is intended to help hospitals and government agencies respond to COVID-19. By targeting their outreach towards patients with high vulnerability, these organizations can ensure that valuable resources are being prioritized to those who need them the most. The model was trained to detect respiratory infections in 2 million Medicare members.
Highlights
- For more information on the COVID-19 Vulnerability Index, see http://cv19index.com
- This algorithm is available as an open source package at https://github.com/closedloop-ai/cv19index
- A user forum has been created for people in the community who have additional questions, suggestions, etc.at https://community.closedloop.ai/t/the-covid-19-vulnerability-index/15
Details
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Dimensions summary
This listing is free to use, so you pay only for the AWS compute that runs the model. Pricing splits into two groups: real-time inference, which serves predictions on demand, and batch inference, which processes larger jobs in bulk. Within each group, you pick an AWS instance type that matches your workload. Options span general-purpose, compute-optimized, and GPU-accelerated instances in a range of sizes. Larger instances carry more processing power. You are billed by host hours, meaning the time each instance runs. Choose the mode and instance size that fit your needs.
Top-of-mind questions for buyers
A host hour is one hour that a single AWS instance runs the model. If you run one instance for ten hours, you are billed ten host hours. Running two instances at once doubles the host hours for the same clock time. Billing counts running time, not prediction volume.
The software itself is free, so no software charge applies. You pay only AWS compute for the time an instance runs. A fully stopped instance stops accruing host hours. Stopped instances may still incur separate AWS storage fees, but no inference charges accrue while they are not running.
Real-time mode serves predictions on demand, so instances stay running to respond instantly. Batch mode processes large groups of records in bulk, then releases the instance. Both bill by host hours. Real-time suits continuous, interactive use. Batch suits scheduled jobs where you run instances only during processing.
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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.
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Version release notes
Initial public release
Additional details
Inputs
- Summary
Full information on the CV19 Index, including the links to a full FAQ, User Forums, and information about upcoming Webinars is available at http://cv19index.com
See the "Data Prep" section of our GitHub readme for information about how to prepare data for the model package: https://github.com/closedloop-ai/cv19index#data-prep
- Input MIME type
- text/csv
See Input Summary
See Input Summary
Support
Vendor support
A user forum (https://community.closedloop.ai/t/the-covid-19-vulnerability-index/15 ) has been created for people in the community who have additional questions, suggestions, etc. You can also follow the discussion on twitter by following @CV19Index
AWS infrastructure support
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.
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