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.
ICD-10-CM Sentence entity resolver Free trial
By:
Latest Version:
5.5.4
Extracts entities and maps them to their ICD-10-CM codes using sbiobert_base_cased_mli sentence embeddings
Product Overview
This pipeline extracts the following entities and maps them to their ICD-10-CM codes using sbiobert_base_cased_mli sentence embeddings. It predicts ICD-10-CM codes up to 3 characters (according to ICD-10-CM code structure the first three characters represent the general type of injury or disease).
Key Data
Version
Type
Model Package
Highlights
Predicted Entities: COMMUNICABLE_DISEASE, DIABETES, DISEASE_SYNDROME_DISORDER, EKG_FINDINGS, HEART_DISEASE, HYPERLIPIDEMIA, HYPERTENSION, IMAGINGFINDINGS, INJURY_OR_POISONING, KIDNEY_DISEASE, OBESITY, ONCOLOGICAL, OVERWEIGHT, PREGNANCY, PSYCHOLOGICAL_CONDITION, SYMPTOM, VS_FINDING
Utilizing a model that extracts clinical entities and maps them to their corresponding ICD-10-CM codes enhances medical documentation and billing processes. By automatically identifying and coding diverse conditions like heart disease and diabetes up to the category level, it streamlines claims processing, improves coding accuracy, and reduces the likelihood of billing errors. This automation not only saves time but also ensures compliance with healthcare coding standards, enhancing revenue cycle management and allowing healthcare providers to focus more on patient care.
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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.
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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 PricingWith 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
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
1.Array of Text Documents { "text": [ "Text document 1", "Text document 2", ... ] }
2.Single Text Document { "text": "Single text document" }
** 3.JSON Lines (JSONL) Format** {"text": "Text document 1"} {"text": "Text document 2"}
Input MIME type
application/json, application/jsonlinesSample input data
Sample notebook
Additional Resources
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Support Information
ICD-10-CM Sentence entity resolver
For any assistance, please reach out to support@johnsnowlabs.com.
AWS Infrastructure
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