@article{f89baf192bb14a98aa0d2b239dc5cfa3,
title = "Ascertainment of asthma prognosis using natural language processing from electronic medical records",
author = "Sunghwan Sohn and Wi, {Chung Il} and Wu, {Stephen T.} and Hongfang Liu and Euijung Ryu and Elizabeth Krusemark and Alicia Seabright and Voge, {Gretchen A.} and Juhn, {Young J.}",
note = "Funding Information: This study was supported by the National Institutes of Health (NIH; grant no. R21AI116839-01). It was made possible by Rochester Epidemiology Project (grant no. R01-AG34676) from the National Institute on Aging and Center for Translational Science Activities (CTSA) grant (grant no. UL1 TR000135) from the National Center for Advancing Translational Sciences. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the NIH. Funding Information: Disclosure of potential conflict of interest: S. Sohn has received grants from the National Institute of Allergy and Infectious Diseases, the National Institute on Aging, and the National Center for Advancing Translational Sciences. Y. J. Juhn is the Principal Investigator of the Innovative Asthma Research Methods Award from Genentech. The rest of the authors declare that they have no relevant conflicts of interest. ",
year = "2018",
month = jun,
doi = "10.1016/j.jaci.2017.12.1003",
language = "English (US)",
volume = "141",
pages = "2292--2294.e3",
journal = "Journal of Allergy and Clinical Immunology",
issn = "0091-6749",
publisher = "Mosby Inc.",
number = "6",
}