Natural Language Processing in a Clinical Decision Support System for the Identification of Venous Thromboembolism: Algorithm Development and Validation

BACKGROUND: It remains unknown whether capturing data from electronic health records (EHRs) using natural language processing (NLP) can improve venous thromboembolism (VTE) detection in different clinical settings. OBJECTIVE: The aim of this study was to validate the NLP algorithm in a clinical deci...

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Detalles Bibliográficos
Autores principales: Jin, Zhi-Geng, Zhang, Hui, Tai, Mei-Hui, Yang, Ying, Yao, Yuan, Guo, Yu-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167583/
https://www.ncbi.nlm.nih.gov/pubmed/37093636
http://dx.doi.org/10.2196/43153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167583/
https://www.ncbi.nlm.nih.gov/pubmed/37093636
http://dx.doi.org/10.2196/43153

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