Journal article
Journal of Biomedical Informatics, vol. 117, 2021 May, p. 103748
APA
Zhao, J., Grabowska, M. E., Kerchberger, V. E., Smith, J. C., Eken, H. N., Feng, Q. P., … Wei, W.-Q. (2021). ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes. Journal of Biomedical Informatics, 117, 103748.
Chicago/Turabian
Zhao, Juan, Monika E. Grabowska, Vern Eric Kerchberger, Joshua C. Smith, H. Nur Eken, QiPing Feng, Josh F. Peterson, S. Trent Rosenbloom, Kevin B. Johnson, and Wei-Qi Wei. “ConceptWAS: A High-Throughput Method for Early Identification of COVID-19 Presenting Symptoms and Characteristics from Clinical Notes.” Journal of Biomedical Informatics 117 (May 2021): 103748.
MLA
Zhao, Juan, et al. “ConceptWAS: A High-Throughput Method for Early Identification of COVID-19 Presenting Symptoms and Characteristics from Clinical Notes.” Journal of Biomedical Informatics, vol. 117, May 2021, p. 103748.