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.

Extract Drugs and RxNorm Codes Free trial
By:
Latest Version:
5.2.8
Detects drugs and maps them to the corresponding RxNorm codes and drug classes.
Product Overview
This model was created to facilitate the accurate mapping of drugs to their corresponding RxNorm codes and related drug classes. It is an essential tool for healthcare professionals and pharmacists, ensuring precise medication identification and categorization, which is crucial for patient safety, medication management, and healthcare interoperability.
Key Data
Version
Type
Model Package
Highlights
Key Features:
- The model accurately maps various drug names, including brand and generic names, to their respective RxNorm codes. RxNorm, developed by the National Library of Medicine, provides standardized nomenclature for medications, aiding in clear and consistent drug identification.
- In addition to mapping drugs to RxNorm codes, the model identifies the related RxNorm drug class, providing essential information about the pharmacological classification of each medication. This feature is useful for understanding the therapeutic uses and mechanisms of action of different drugs.
The model can interpret a wide range of drug-related terminology from diverse sources, including electronic health records, prescription data, and pharmacological literature. By providing accurate drug classifications, the model assists healthcare professionals in better understanding drug interactions, contraindications, and appropriate medication regimens, enhancing patient care and safety.
This model can be used in pharmacy management to simplify medication dispensing and inventory management through the provision of standardized drug information. It can also be used to enhance Electronic Health Records (EHR) systems by incorporating precise drug coding, resulting in improved medication reconciliation and clinical decision support. Furthermore, it can assist in healthcare data analytics by facilitating the analysis of medication data for research purposes, policy-making, and the improvement of healthcare quality.
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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.
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$9.84/hr
running on ml.m4.xlarge
Model Batch Transform$9.84/hr
running on ml.m4.xlarge
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$0.24/host/hr
running on ml.m4.xlarge
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 | $9.84 |
Usage Information
Model input and output details
Input
Summary
To use this model you need to provide input in one of the following supported formats:
- Single Text Document Provide a single text document as a string. { "text": "Single text document" }
- Array of Text Documents
Use an array containing multiple text documents. Each element represents a separate text document.
{
"text": [
] }"Text document 1", "Text document 2", ...
Input MIME type
application/jsonSample input data
Output
Summary
The output consists of a JSON object with the following structure: { "predictions": [ { "document": "Text of the document 1", "ner_chunk": "Named Entity 1", "begin": Start Index, "end": End Index, "ner_label": "Label 1", "rxnorm_code": code }, ... ] }
Output MIME type
application/jsonSample output data
Sample notebook
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 Drugs and RxNorm Codes
For any assistance, please reach out to support@johnsnowlabs.com.
AWS Infrastructure
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