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.
This product allows the generation of a flexible package of floating licenses for John Snow Labs Natural Language Processing Python libraries. At subscription time users can specify the number of licenses they need for each library - Healthcare NLP, Visual NLP, Finance NLP, and Legal NLP and the duration of the subscription. When the product is deployed on an EC2 machine, a license bundle is automatically generated and loaded in the Jupyter Lab environment. Users can right away start annotating their text documents with pretrained DL models, rules, and prompts, or train and tune new models. For facilitating quick experiments, we included a set of ready-to-use notebooks in the product, available in the Jupyter Lab environment.
The license package can be used on the AWS servers where this product is deployed or can be downloaded and used locally (e.g. local machines or colab environments). The license bundle can be shared by a team of data scientists or used inside the NLP Lab product to unlock Visual, Healthcare, Finance, or Legal features, according to the bundle configuration.There is no limit on the number of documents, models, or pipelines that can be used with this subscription. However, the number of parallel pipelines/jobs that can be run is limited to the number of floating licenses selected at subscription time.
What is included
- Spark NLP, the most widely used NLP library in the Enterprise providing production-grade, scalable, and trainable versions of the latest research in NLP and access to 700+ Embeddings, and 15,000+ pretrained models and pipelines covering tasks such as Entity Recognition, Information Extraction, Spelling and Grammar, Text Classification, Translation, Summarization, Question Answering etc.
- 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.
- Finance NLP software and models, enabling financial text classification, financial sentiment analysis, financial Named Entity Recognition (e.g. organizations, products, revenue, profit, losses, trading symbols, etc.), Entity-linking for normalizing NER entities and linking them to databases such as Edgar, Crunchbase, and Nasdaq, Assertion Status for inferring temporality and Relation Extraction financial De-identification and more.
- Legal NLP software and models, covering Named Entity Recognition, Information Extraction on clauses, Legal Clause Classification, Legal Relationship Extraction, Entity Linking, Legal De-identification Assertion Status, and Relation Extraction. It includes access to over 300+ new state-of-the-art models available in multiple languages.
- Visual NLP (OCR) software and models, enabling form understanding, table detection and extraction, noisy image enhancement, visual document classification, visual entity recognition, DICOM to text, signature detection, and image de-identification.
- Access to models and pipelines published on the NLP Models Hub (currently 17,900+ and counting).
- 30+ Ready-to-use Jupyter notebooks that will help you get started with text and image analysis on all major NLP tasks.
Technical Specifications
- Recommended memory: 32GB RAM
- Recommended vCPU:8 vCPUs
- Operating System:Ubuntu 20.04
Included integrations
- Jupyter Lab is preinstalled and running on port 5000. Password: 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://INSTANCE_IP.
Highlights
- The most widely used NLP library in the enterprise, available as a turnkey package for data scientists including Spark NLP, Healthcare NLP, Finance NLP, Legal 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
Pricing
Dimension | Description | Cost/month |
|---|---|---|
Healthcare NLP | License for Healthcare NLP | $7,000.00 |
Finance NLP | License for Finance NLP | $4,500.00 |
LegalNLP | License for Legal NLP | $4,500.00 |
VisualNLP | License for Visual NLP | $4,000.00 |
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 offered. For any questions email us at info@johnsnowlabs.com
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
John Snow Labs - NLP Libraries Prepaid 5.4.0 includes:
- Visual NLP 5.4.0
- Healthcare NLP 5.4.0
- Legal NLP 2.0
- Finance NLP 2.0
- Spark-NLP 5.4.0
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> to access the landing page of the product. Here you will find information about the libraries included in your subscription 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. On the first deployment, a license key is generated for you according to the configuration you specified in your subscription and when that becomes available you will be able to download it for use in your custom NLP pipelines.
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.
To connect to the operating system, use SSH and the username ubuntu.
Resources
Support
Vendor support
Technical support by John Snow Labs Team 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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