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%0 Conference Paper
%1 conf/icdh/AgarwalBRTCC23
%A Agarwal, Ankita
%A Banerjee, Tanvi
%A Romine, William L.
%A Thirunarayan, Krishnaprasad
%A Chen, Lingwei
%A Cajita, Mia
%B ICDH
%D 2023
%I IEEE
%K dblp
%P 208-216
%T Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure.
%U http://dblp.uni-trier.de/db/conf/icdh/icdh2023.html#AgarwalBRTCC23
%@ 979-8-3503-4103-4
@inproceedings{conf/icdh/AgarwalBRTCC23,
added-at = {2024-05-07T00:00:00.000+0200},
author = {Agarwal, Ankita and Banerjee, Tanvi and Romine, William L. and Thirunarayan, Krishnaprasad and Chen, Lingwei and Cajita, Mia},
biburl = {https://www.bibsonomy.org/bibtex/2ae74c9a0fa70ce08fe9bebc85b5ed26e/dblp},
booktitle = {ICDH},
crossref = {conf/icdh/2023},
ee = {https://doi.org/10.1109/ICDH60066.2023.00038},
interhash = {17e8b6fac53496f64df0db1d5477e624},
intrahash = {ae74c9a0fa70ce08fe9bebc85b5ed26e},
isbn = {979-8-3503-4103-4},
keywords = {dblp},
pages = {208-216},
publisher = {IEEE},
timestamp = {2024-05-13T09:32:15.000+0200},
title = {Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure.},
url = {http://dblp.uni-trier.de/db/conf/icdh/icdh2023.html#AgarwalBRTCC23},
year = 2023
}