Published on in Vol 8 , No 12 (2022) :December
Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System
Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System
1 Epidemic Intelligence Service , Centers for Disease Control and Prevention , Atlanta , GA , US
2 Department of Research & Evaluation , Kaiser Permanente Southern California , Pasadena , CA , US
3 Kaiser Permanente Bernard J. Tyson School of Medicine , Pasadena , CA , US
4 Southern California Permanente Medical Group , Harbor City , CA , US
5 The Permanente Medical Group , Kaiser Permanente Northern California , Oakland , CA , US
6 Division of Research , Kaiser Permanente Northern California , Oakland , CA , US
7 Genentech, a Member of the Roche Group , San Francisco , CA , US
*these authors contributed equally