APA
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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
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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
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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.
BibTeX Click to copy
@article{zhao2021a,
title = {ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes},
year = {2021},
month = may,
journal = {Journal of Biomedical Informatics},
pages = {103748},
volume = {117},
author = {Zhao, Juan and Grabowska, Monika E. and Kerchberger, Vern Eric and Smith, Joshua C. and Eken, H. Nur and Feng, QiPing and Peterson, Josh F. and Trent Rosenbloom, S. and Johnson, Kevin B. and Wei, Wei-Qi},
month_numeric = {5}
}