In this blog post, we’ll see that instead of creating long pipelines, we can achieve the same result with pre-trained pipelines. Let’s start with a brief introduction to Spark NLP and then discuss the details of pretrained pipelines with some concrete results.
Pretrained AI pipelines streamline complex processes into a single line of code, offering easy access, superior performance, resource savings, smooth integration, and continuous updates. In this blog post, we’ll see...
Accurate Extraction of Response to Treatment Indications in Oncology Accurate assessment of patient response to cancer treatment is paramount in guiding clinical decision-making and optimizing therapeutic outcomes. While large language...
In this post, we explore the utilization of pre-trained models within the Healthcare NLP library by John Snow Labs to map medical terminology to the MedDRA ontology. Specifically, our aim is to...
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