Spark NLP for Healthcare There is a growing need for automated text mining of Electronic health records (EHRs) in order to find clinical indications that new research points to. EHRs...
Stopwords removal in natural language processing (NLP) is the process of eliminating words that occur frequently in a language but carry little or no meaning. Removing stop words is useful...
Why is clinical documentation driving burnout? Documentation is one of the most cited contributors to physician burnout. Doctors are spending hours outside of clinic, often termed "pajama time"- finishing notes,...
How to extract entities from text based in a list of desired entities or regex rules using Spark NLP at scale Named Entity recognition can be implemented with many approaches....
What is driving the adoption of robotics in hospital logistics? Hospitals are rapidly deploying robotics to alleviate staffing shortages and improve operational efficiency. With a market valued between $1.5 and $3.9 billion...
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