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

• Ngā kaituhi matua: Deborah E Malden (Author), Sara Y Tartof (Author), Bradley K Ackerson (Author), Vennis Hong (Author), Jacek Skarbinski (Author), Vincent Yau (Author), Lei Qian (Author), Heidi Fischer (Author), Sally F Shaw (Author), Susan Caparosa (Author), Fagen Xie (Author)
• Hōputu: Pukapuka
• I whakaputaina: JMIR Publications, 2022-12-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: 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...