Sold by: ElectrifAi LLCÂ
Deployed on AWS
Predict likelihood of user to file a longterm disability claim in a group insurance plan.
Overview
Predict the likelihood of users to file a long-term disability claim in a group insurance plan. The model extracts and integrates relevant information from complicated insurance data. Use of the model delivered highly predictive results and very closed traced the actual incidents. The data includes group plan level data (e.g. coverages and provisions, tenure, plan size, SIC) and employee level data (e.g. gender, salary, dependents, dental claims) to generate data out insights to predict the score of filing long term disability claims.
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SKU: LTDCL-PS-GIS-AWS-001
Highlights
- Predict the likelihood of users to file a long-term disability claim in a group insurance plan.
- The problem was approached as both a classification problem to predict the likelihood of filing a long-term disability claim as well as a prediction problem to estimate the cost of each claim.
- Also added a claim costs regression model that exhibits high performance, with an actual to expected ratio of close to 1 on average across business-defined buckets and low variance.
Details
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Delivery method
Latest version
Deployed on AWS
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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
Vulnerabilities CVE-2021-3177 (i.e. https://nvd.nist.gov/vuln/detail/CVE-2021-3177Â ) and CVE-2021-3449 (i.e. https://ubuntu.com/security/CVE-2021-3449Â ) has been resolved in version 1.0.1.
Additional details
Inputs
- Summary
6 CSV input files. The files should then be archived and zipped into a single file e.g. input.tar.gz Employees.csv (REQUIRED) Billing.csv (REQUIRED) Claims.csv (REQUIRED) Plan.csv (REQUIRED) Coverage.csv (REQUIRED) Dependent.csv
- Input MIME type
- application/octet-stream, multi, multipart/form-data
https://github.com/ElectrifAi/model-aws-long-term-disability-claims/blob/main/input.tar.gz
https://github.com/ElectrifAi/model-aws-long-term-disability-claims/blob/main/input.tar.gz
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
6 CSV input files. The files should then be archived and zipped into a single file e.g. input.tar.gz | Employees.csv (REQUIRED)
Billing.csv (REQUIRED)
Claims.csv (REQUIRED)
Plan.csv (REQUIRED)
Coverage.csv (REQUIRED)
Dependent.csv | Type: FreeText | Yes |
Resources
Vendor resources
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