Learning to detect and understand drug discontinuation events from clinical narratives. Liu, F., Pradhan, R., Druhl, E., Freund, E., Liu, W., Sauer, B. C., Cunningham, F., Gordon, A. J., Peters, C. B., & Yu, H. Journal of the American Medical Informatics Association, 26(10):943–951, October, 2019. ![Learning to detect and understand drug discontinuation events from clinical narratives [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex AbstractObjective. Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety survei
@article{liu_learning_2019,
title = {Learning to detect and understand drug discontinuation events from clinical narratives},
volume = {26},
url = {https://academic.oup.com/jamia/article/26/10/943/5481540},
doi = {10.1093/jamia/ocz048},
abstract = {AbstractObjective. Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety survei},
language = {en},
number = {10},
urldate = {2019-12-29},
journal = {Journal of the American Medical Informatics Association},
author = {Liu, Feifan and Pradhan, Richeek and Druhl, Emily and Freund, Elaine and Liu, Weisong and Sauer, Brian C. and Cunningham, Fran and Gordon, Adam J. and Peters, Celena B. and Yu, Hong},
month = oct,
year = {2019},
pmid = {31034028 PMCID: PMC6748801},
pages = {943--951},
}
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