Elsevier

Kidney International

Volume 97, Issue 2, February 2020, Pages 263-265
Kidney International

Commentary
Considerations for advancing nephrology research and practice through natural language processing

https://doi.org/10.1016/j.kint.2019.12.001Get rights and content
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Much of medical data is buried in the free text of clinical notes and not captured by structured data, such as administrative codes. Natural language processing (NLP) can locate and use information that resides in unstructured free text. Chan et al. demonstrate that NLP is sensitive for identifying symptoms in hemodialysis patients. These findings highlight the benefit NLP may bring to nephrology and should prompt discussion of important considerations for NLP system design and implementation.

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see clinical investigation on page 383