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%0 Conference Paper
%1 conf/amia/BompelliLXWWAHZ20
%A Bompelli, Anusha
%A Li, Jianfu
%A Xu, Yiqi
%A Wang, Nan
%A Wang, Yanshan
%A Adam, Terrence J.
%A He, Zhe
%A Zhang, Rui
%B AMIA
%D 2020
%I AMIA
%K dblp
%T Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.
%U http://dblp.uni-trier.de/db/conf/amia/amia2020.html#BompelliLXWWAHZ20
@inproceedings{conf/amia/BompelliLXWWAHZ20,
added-at = {2024-04-17T00:00:00.000+0200},
author = {Bompelli, Anusha and Li, Jianfu and Xu, Yiqi and Wang, Nan and Wang, Yanshan and Adam, Terrence J. and He, Zhe and Zhang, Rui},
biburl = {https://www.bibsonomy.org/bibtex/2311fa32ca6c0647879107b30a9e10c69/dblp},
booktitle = {AMIA},
crossref = {conf/amia/2020},
ee = {https://knowledge.amia.org/72332-amia-1.4602255/t003-1.4606204/t003-1.4606205/3417023-1.4606584/3415023-1.4606581},
interhash = {e512a4afdc6fdabc3e5c8f0f7b0e87fb},
intrahash = {311fa32ca6c0647879107b30a9e10c69},
keywords = {dblp},
publisher = {AMIA},
timestamp = {2024-04-22T07:32:01.000+0200},
title = {Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.},
url = {http://dblp.uni-trier.de/db/conf/amia/amia2020.html#BompelliLXWWAHZ20},
year = 2020
}