Automating clinical phenotyping using natural language processing

Abstract Background Real-world studies based on electronic health records often require manual chart review to derive patients’ clinical phenotypes, a labor-intensive task with limited scalability. Here, we developed and compared computable phenotyping based on rules using the spaCy framework and a...

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Principais autores:	Linea Schmidt, Susanne Ibing, Florian Borchert, Julian Hugo, Allison A. Marshall, Jellyana Peraza, Judy H. Cho, Erwin P. Böttinger, Bernhard Y. Renard, Ryan C. Ungaro
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2026-01-01
叢編:	Communications Medicine
在線閱讀:	https://doi.org/10.1038/s43856-025-01337-0
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