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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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Extract clinical risk factors Free trial

Latest Version:
5.5.4
Identify key risk factors from medical documents

    Product Overview

    This model specializes in identifying key risk factors such as Coronary Artery Disease, Diabetes, Family History, Hyperlipidemia, Hypertension, Medications, Obesity, and Smoking Habits in clinical documentation. Designed for precision, it assists healthcare professionals in crucial risk assessment and management.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Process up to 7 M chars per hour for real-time and up to 35 M chars per hour for batch mode.

      This model is an efficient solution for the automatic detection and classification of risk factors in patient histories and clinical notes. It utilizes cutting-edge natural language processing techniques to accurately identify risk factors like Diabetes, Hypertension, Obesity, and Smoking, among others. It is tailored to meet the needs of healthcare professionals, clinicians, and medical researchers, providing them with a reliable tool for extracting vital risk factors from various medical documents.

    • Key Features:

      • Efficiently identifies a wide array of risk factors, including Coronary Artery Disease, Diabetes, Family History, and more, ensuring comprehensive patient risk profiling.
      • Supports preventive care strategies by providing accurate risk factor detection, aiding in early intervention and management.
      • Facilitates evidence-based clinical decision-making by delivering precise information on patient risk factors.
      • Enhances patient profiling and healthcare planning by offering high-accuracy data extraction from clinical narratives.
    • This model is invaluable in the healthcare sector, offering a robust tool for clinicians and researchers to optimize patient care and preventive strategies. It ensures precise risk factor identification, contributing to better patient outcomes and informed clinical decision-making. Covered entities: CAD, DIABETES, FAMILY_HIST, HYPERLIPIDEMIA, HYPERTENSION, MEDICATION, OBESE, PHI, SMOKER.

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    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.

    Contact us to request contract pricing for this product.


    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$23.76/hr

    running on ml.m4.xlarge

    Model Batch Transform$47.52/hr

    running on ml.m4.2xlarge

    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$0.24/host/hr

    running on ml.m4.xlarge

    SageMaker Batch Transform$0.48/host/hr

    running on ml.m4.2xlarge

    About Free trial

    Try this product for 15 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    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.m4.xlarge
    Vendor Recommended
    $23.76

    Usage Information

    Model input and output details

    Input

    Summary

    Input Format To use the model for text prediction, you need to provide input in one of the following supported formats:

    1. Single Text Document { "text": "Single text document" }

    2. Array of Text Documents

    { "text": [ "Text document 1", "Text document 2", ] }

    1. JSON Lines (JSONL) Format {"text": "Text document 1"} {"text": "Text document 2"}
    Input MIME type
    application/json, application/jsonlines
    Sample input data

    Output

    Summary

    To see the full structure of the output go here

    Output MIME type
    application/json, application/jsonlines
    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

    Extract clinical risk factors

    For any assistance, please reach out to support@johnsnowlabs.com.

    AWS Infrastructure

    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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    Refund Policy

    No refunds are possible.

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