Sold by: John Snow LabsÂ
Deployed on AWS
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This model extracts biomarkers, classifies their presence, and links related entities in clinical text
Overview
This model is specifically designed to meticulously extract biomarker entities from a diverse array of clinical documents, such as research articles, patient records, and lab reports. By employing sophisticated natural language processing techniques, the model not only detects these critical entities but also classifies sentences to ascertain the presence of biomarkers, providing a nuanced understanding of their context and relevance.
Furthermore, it establishes intricate relationships between the extracted entities, which is pivotal for constructing a comprehensive biomarker network. Such capabilities enhance the precision of clinical assessments and facilitate a deeper understanding of patient conditions, potentially leading to more personalized and effective medical interventions.
IMPORTANT USAGE INFORMATION:
After subscribing to this product and creating a SageMaker endpoint, billing occurs on an HOURLY BASIS for as long as the endpoint is running.
-Charges apply even if the endpoint is idle and not actively processing requests.
-To stop charges, you MUST DELETE the endpoint in your SageMaker console.
-Simply stopping requests will NOT stop billing.
This ensures you are only billed for the time you actively use the service.
Highlights
- Extracted Clinical Entity Labels: - Biomarker - Biomarker_Result Relation Extraction Labels: is_finding_of Classification Model Labels: 1, 0 Classifies sentences to identify the presence(1) or absence(0) of biomarker entities.
- Process up to 2 M chars per hour for real-time and up to 3.4 M chars per hour for batch mode.
Details
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Pricing
Free trial
Try this product free for 15 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m4.2xlarge Inference (Batch) Recommended | Model inference on the ml.m4.2xlarge instance type, batch mode | $47.52 |
ml.m4.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m4.xlarge instance type, real-time mode | $23.76 |
Vendor refund policy
No refunds are possible.
Legal
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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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
New Version.
johnsnowlabs_version: 5.5.4 Heathcare NLP: 5.5.2 Visual NLP: 5.5.0
Additional details
Inputs
- Summary
To use the model, you need to provide input in one of the following supported formats:
JSON Format
Provide input as JSON. We support two variations within this format:
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", ... ] }
Single Text Document: Provide a single text document as a string.
{ "text": "Single text document" }
JSON Lines (JSONL) Format
Provide input in JSON Lines format, where each line is a JSON object representing a text document.
{"text": "Text document 1"} {"text": "Text document 2"}
- Input MIME type
- application/json, application/jsonlines
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/en.explain_doc.clinical_biomarker.pipeline/inputs/real-time
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/en.explain_doc.clinical_biomarker.pipeline/inputs/batch
Resources
Vendor resources
Support
Vendor support
For any assistance, please reach out to support@johnsnowlabs.com .
AWS infrastructure support
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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