Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools.
- DOI
- 10.1371/journal.pone.0227730
- Published
- 2020-01-16
- Container
- PLoS One
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0227730,
title = {Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools.},
author = {Akgün KM and Sigel K and Cheung KH and Kidwai-Khan F and Bryant AK and Brandt C and Justice A and Crothers K.},
year = {2020},
journal = {PLoS One},
doi = {10.1371/journal.pone.0227730},
url = {https://doi.org/10.1371/journal.pone.0227730}
}RIS
TY - JOUR TI - Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools. AU - Akgün KM AU - Sigel K AU - Cheung KH AU - Kidwai-Khan F AU - Bryant AK AU - Brandt C AU - Justice A AU - Crothers K. PY - 2020 JO - PLoS One DO - 10.1371/journal.pone.0227730 UR - https://doi.org/10.1371/journal.pone.0227730 ER -
APA
KM, A., K, S., KH, C., F, K., AK, B., C, B., A, J., & K., C. (2020). Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools.. PLoS One. https://doi.org/10.1371/journal.pone.0227730
Source records
- europe-pmc · retrieved 2026-09-27T02:01:45.608Z
- doaj · retrieved 2026-09-27T02:01:45.607Z