Overview
John Snow Labs - Healthcare NLP Libraries are designed to help organizations extract insights from unstructured documents and enable faster, more accurate data analysis. Healthcare NLP is a cutting-edge natural language processing solution designed specifically for the healthcare domain, leveraging advanced machine learning algorithms and a vast medical knowledge base. Healthcare NLP excels in transforming raw healthcare data into structured, actionable information.
About the offer
This product includes a package of Natural Language Processing Python libraries specific for the Healthcare domain. It allows quick and easy text annotation with pre-trained DL models, rules, and prompts but also NLP model testing, training, and tuning. The product guarantees state-of-the-art accuracy, native scalability, optimizations for the latest hardware, and the ability to easily compose text and image processing pipelines.
There is no limit on the number of documents, models, or pipelines that can be used with this subscription: the software is licensed on a per-server basis.
What is included
- Spark NLP, the most widely used NLP library in the Enterprise. It provides production-grade, scalable, and trainable versions of the latest research in natural language processing and 10,000+ pre-trained models and pipelines covering tasks such as Entity Recognition, Information Extraction, Spelling and Grammar, Text Classification, Translation, Summarization, Question Answering or Emotion Detection.
- Healthcare NLP software and models, enabling clinical and biomedical Named Entity Recognition for 400+ entity types, assertion status detection (identify between positive, negative, possible, past, and future facts), clinical relation extraction, clinical entity resolution to SNOMED-CT, ICD-10, CPT, RxNorm, LOINC, NDC, ICD-I, MeSH, UMLS.
- Visual NLP (OCR) software and models, enabling form understanding, table detection and extraction, noisy image enhancement, visual document classification, visual entity recognition, signature detection, and image de-identification.
- Full access to all models and pipelines published on the NLP Models Hub (currently 1,200+ healthcare-specific models and 17,500+ general models).
- 30+ Ready-to-use Jupyter notebooks that will help you get started with text and image analysis on all major NLP tasks such as text classification, sentiment analysis, named entity recognition, relation extraction, assertion status, entity linking, de-identification, translation, summarization, question answering, spelling and grammar.
- NLU python library for text understanding that can be used to test models and pipelines with one line of code.
- Spark NLP Display library for out-of-the-box annotation display on top of textual content.
Who is this offer for
- Teams of Python developers that need to extract entities and relations from text, image, and pdf documents;
- Data scientists who deal with NLP problems;
- Machine learning engineers who need to test/train/tune NLP models;
- Scientific researcher groups who need to extract meaning from unstructured, natural language documents;
- Anyone else interested in text and image analysis, image digitization, data extraction, document labeling, and/or NLP model training.
Target verticals
The Spark NLP and Visual NLP libraries included in this offer are general and can be applied to any domain to documents written in over 250 languages. The Healthcare library contains pretrained resources specific to the Healthcare domain. The NLP Models Hub contains over 17k pre-trained models and pipelines for general-purpose documents. It also contains 1200+ specialized pre-trained models for the Healthcare vertical.
About the Trial
John Snow Labs introduces a flexible pay-as-you-go of our most popular Healthcare NLP libraries subscription ready to process and extract your medical text in just a few minutes. Start an instance when you are ready to process your data, and stop the instance to not incur any more charges.
Technical Specifications
- Recommended memory: 32GB RAM
- Recommended vCPU:8 vCPUs
- Operating System:Ubuntu 20.04
Included integrations
- Jupyter Lab preinstalled and available at http://IP_ADDRESS/jupyter. The password to login to Jupyter Lab is the INSTANCE_ID
3 Easy Steps to get started
- Subscribe to the product on the AWS Marketplace.
- Deploy it on a new machine.
- Access the welcome page for a guided experience on http://IP_ADDRESS
Highlights
- The most widely used NLP library in the enterprise, available as a turnkey package for data scientists including Spark NLP, Healthcare NLP, Visual NLP, plus visualization and model testing libraries.
- Peer-reviewed, State-of-the-Art accuracy for clinical and biomedical NLP. This includes access to 700+ pre-trained models covering entity recognition, entity linking, relations, assertions, text classification, and de-identification.
- State-of-the-Art visual form and document understanding - enabling entity extraction, table extraction, key-value extraction, document classification, and de-identification.
Details
Typical total price
$47.904/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
m5.2xlarge Recommended | $47.52 | $0.384 | $47.904 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No Refunds
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 5.5.2 of John Snow Labs - Healthcare NLP features the following versions of the NLP libraries:
-
Visual NLP 5.4.2 - https://nlp.johnsnowlabs.com/docs/en/spark_ocr_versions/ocr_release_notes
-
Healthcare NLP 5.5.1 - https://nlp.johnsnowlabs.com/docs/en/spark_nlp_healthcare_versions/licensed_release_notes
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Spark-NLP 5.5.1 - https://github.com/JohnSnowLabs/spark-nlp/releases/
Release notes - https://nlp.johnsnowlabs.com/docs/en/jsl/jsl-release-notes
Additional details
Usage instructions
No sensitive information related to you or your organization will be managed or stored by the John Snow Labs NLP library on the instance(s) where you deploy the product. It is the user's responsibility to safely manage sensitive documents processed using the John Snow Labs NLP libraries. The software does not call home - all document processing is done locally and documents are not copied nor shared outside of the running instances.
Data Encryption: This solution does not encrypt data within the running instance.
Cryptographic keys: John Snow Labs NLP product does not use credentials and cryptographic keys.
Usage instructions:
On instance startup, navigate to http://<PUBLIC_IP_OF_INSTANCE> for information about the included libraries and links to ready-to-use notebooks for the most popular tasks. Click on one of the library boxes to navigate to your John Snow Labs - NLP Jupyter server and run the notebooks on your data.
The password for connecting to Jupyter Lab is the instance id.
To run one of the notebooks, just click on it to open it and then click Run.
Resources
Support
Vendor support
About the Trial Please read carefully before initiating the trial:
- No license key required for AWS metering of this marketplace product.
-Start an instance when ready and suspend it when no job is running to avoid charges. -AWS' free trial is limited to one VM instance for 30 days. If unsubscribed before the trial ends, no more trials will be provided. Additional instances will incur AWS charges. -Other John Snow Labs products on different instances will incur charges. -No refunds will be issued for usage on AWS Marketplace. -Review terms, pricing, and usage metrics before purchase. Contact sales@johnsnowlabs.com with any questions. -By using John Snow Labs solutions on AWS, you agree to these terms.
Technical support for NLP Lab by Development Team support@johnsnowlabs.com
Video Resources John Snow Labs also offers professional services to deliver custom data science work that is specific to your needs. Our team of experts is ready to assist you with various tasks, including training custom AI models, developing machine learning pipelines, annotating documents, creating Python notebooks, generating insightful reports, and much more. Our professional services are specifically designed to help you achieve remarkable results without the steep learning curve or overwhelming workload.
AWS Marketplace Slack Channel https://spark-nlp.slack.com/archives/C064YR9NLBX
NLP Libraries: ready to use as a pay-as-you-go product on AWS Marketplace https://shorturl.at/3jPG6
Modular Approach to Solve Problems at Scale in Healthcare NLP https://shorturl.at/R5trN
Current State-of-the-Art Accuracy for Key Medical Natural Language Processing Benchmarks https://youtu.be/pdNoWn_4aMw
End-to-End No-Code Development of NER model for Text with NLP Lab https://shorturl.at/5uYCC
End-to-End No-Code Development of AI Models for Text and Images with NLP Lab https://rb.gy/deq97g
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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Customer reviews
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Best NLP Library Product
What I loved about this product is that it comes with all libraries preinstalled and ready to use in 2 minutes and with a couple of clicks. I am not an expert in Apache Spark, so configuring the environment on my own is not a dare I would happily take on...I was happy to see this product is so easy to deploy and use and that it includes ready-to-use notebooks that cover all NLP tasks I needed (NER and entity resolution in my case).
It took me a couple of minutes to get a POC in place on my own datasets and see the first results on my documents.
I will definitely use the John Snow Las libs for my next NLP projects!