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Healthcare NLP Blog

State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.

This blog post compares RxNorm code mapping accuracy and a price analysis between John Snow...

Boosting Efficiency and Accuracy in Healthcare NLP Tasks Using Healthcare-Specific Fine-Tuned LLMs and New Medical Assertion Detection Frameworks Highlights Introducing a brand new LLMLoader annotator to load and run large...

Accurate drug name identification is vital for patient safety. Testing GPT-4o with Langtest, which offers a drug_generic_to_brand conversion test, identified potential errors where the model predicts incorrect drug names when...

ChunkConverter unifies regex and NER entity extractions in Spark NLP pipelines by converting regex chunks to a standard chunk format with entity labels, enabling integrated downstream processing. What is ChunkConverter?...

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...