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Healthcare NLP Blog

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

In this talk Katie Goznikar will show you how IDEXX Laboratories has leveraged John Snow Labs pretrained models and the R programming language to extract standardized data from prescription descriptions....

Healthcare systems are increasingly looking to natural language processing (NLP) technology to maximize their performance of risk arrangements and enhance their value-based care program. The number of Healthcare systems that...

Recruiting patients for clinical trials is a major challenge in drug development. Finding patients requires an in-depth understanding of their medical histories and current health statuses while the majority of patient...

The Khuluma project was carried out to enhance positive mental health amongst HIV-positive adolescents in South Africa, with the aim of reducing and ultimately preventing the spread of HIV & AIDS....

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...