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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.

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Missing Charges

Latest Version:
1.0.1
Identify missing charges in a provider's claim

    Product Overview

    Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing. By using the input data of medical claims from an insurance company (i.e. common medical codes HCPCS, CPT, ICD10, REV, LOC), a score of every possible charge code is generated. High scores mean the charge should be on the claim. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: MISCH-PS-HCY-AWS-001

    Key Data

    Highlights

    • Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing.

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    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$0.00/hr

    running on ml.p2.16xlarge

    Model Batch Transform$0.00/hr

    running on ml.m5.2xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$16.56/host/hr

    running on ml.p2.16xlarge

    SageMaker Batch Transform$0.461/host/hr

    running on ml.m5.2xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.p2.xlarge
    $0.00
    ml.p2.16xlarge
    Vendor Recommended
    $0.00
    ml.p3.16xlarge
    $0.00

    Usage Information

    Model input and output details

    Input

    Summary

    The customer should provide the following formatted data in a JSON file. Keys should be integers. Sample Input JSON: https://github.com/ElectrifAi/model-aws-missing-charges/blob/main/input_data.json

    Input MIME type
    application/json
    Sample input data

    Output

    Summary

    Output: A JSON (dictionary of dictionaries) with the input's line number as the main key; for every entry there will be a prediction for that code. The JSON file can be found in the output_data file.

    keys: line number value: dictionary keys: account ID value: dictionary keys: charge code value: charge code score

    Output MIME type
    application/json
    Sample output data

    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

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    Refund Policy

    This product is offered for free. If there are any questions, please contact us for further clarifications.

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