Spark NLP for Healthcare was used to provide accurate, scalable, and healthcare-specific pipelines for OCR, sentence segmentation, spell checking, biomedical named entity recognition, assertion status (negation) detection, and entity resolution (to...
Providers are overwhelmed with hospital utilization management and prior authorization documentation requirements with the volume of reviews. While the EHR holds a wealth of information, it requires the utilization manager...
Achieving accuracy in NLP is an art and a science. Learn how MetiStream and John Snow Labs worked in collaboration to build and implement models, best practices, and processes to...
In this talk, we will cover how to extract entities from text using both rule-based and deep learning techniques, and build a knowledge graph of these entities. We will cover...
There are tremendous research benefits of linking de-identified patient records to get a holistic patient view especially for studies related to drug development and patient outcomes. Today, most research data...
Demos
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