Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System

• Hauptverfasser: Deborah E Malden (Verfasst von), Sara Y Tartof (Verfasst von), Bradley K Ackerson (Verfasst von), Vennis Hong (Verfasst von), Jacek Skarbinski (Verfasst von), Vincent Yau (Verfasst von), Lei Qian (Verfasst von), Heidi Fischer (Verfasst von), Sally F Shaw (Verfasst von), Susan Caparosa (Verfasst von), Fagen Xie (Verfasst von)
• Format: Buch
• Veröffentlicht: JMIR Publications, 2022-12-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

BackgroundNatural language processing (NLP) of unstructured text from electronic medical records (EMR) can improve the characterization of COVID-19 signs and symptoms, but large-scale studies demonstrating the real-world application and validation of NLP for this purpose are limited. ObjectiveThe ai...