This blog post explores using Healthcare NLP, a powerful NLP library, for clinical text analysis. It focuses on Contextual Assertion for clinical text analysis, which significantly boosts accuracy in identifying...
EntityRulerInternal in Spark NLP extracts medical entities from text using regex patterns or exact matches defined in JSON or CSV files. With practical examples, this post explains how to set...
The RegexMatcherInternal class leverages the power of regular expressions to identify and associate specific patterns within text data with predefined entities, such as dates, SSNs, and email addresses. This method...
This talk presents new levels of accuracy that have very recently been achieved, on public and independently reproducible benchmarks, on the three most common use cases for language models in...
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...
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