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Why is data licensing so, so hard? Here's some Considerations on Security, Privacy, Licensing and Compliance when preparing Healthcare Data for Reuse
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Visual NER Automated Preannotation and Training in the Annotation Lab

by
Dia Trambitas
Annotation Lab v3.4.0 brings support for Visual NER Automated Preannotation and Model Training. Spark NLP and Spark NLP for Healthcare libraries are upgraded to version 4.0. Known security and bug...

PICO Classification – Using Spark NLP to improve PICO Element Identification

by
Sai Shailesh
  The proliferation of healthcare data has contributed to the widespread usage of the PICO paradigm for creating specific clinical questions from RCT. PICO is a mnemonic that stands for:...

Serving Spark NLP via API: Spring and LightPipelines

by
Veysel Kocaman
Welcome to a follow-up article on the “Serving Spark NLP via API” series, showcasing how to serve SparkNLP using Spring, Swagger, and Java. Don’t forget to check the other articles...

Stepping Up Information Extraction Capabilities for Virginia Tech with Spark OCR

by
Rahul Awati
John Snow Labs is well known for helping healthcare and life science companies build, deploy, and operate AI products and services with its Spark NLP, one of the most widely...

Randomized Controlled Trials (RCT) classification using Spark NLP

by
Sai Shailesh
In this article, I give a brief introduction to Randomized Controlled Trials (RCT). Also, an overview of the classification models and pretrained pipelines available in Spark NLP for the classification...
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