%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 }