%0 Conference Paper %1 conf/amia/MoyCWTKR22 %A Moy, Amanda J. %A Cato, Kenrick %A Withall, Jennifer %A Tatonetti, Nicholas P. %A Kim, Eugene Y. %A Rossetti, Sarah Collins %B AMIA %D 2022 %I AMIA %K dblp %T Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files. %U http://dblp.uni-trier.de/db/conf/amia/amia2022.html#MoyCWTKR22

@inproceedings{conf/amia/MoyCWTKR22, added-at = {2024-04-17T00:00:00.000+0200}, author = {Moy, Amanda J. and Cato, Kenrick and Withall, Jennifer and Tatonetti, Nicholas P. and Kim, Eugene Y. and Rossetti, Sarah Collins}, biburl = {https://www.bibsonomy.org/bibtex/25434d19e0d9ee7c3f1c8a17d7533b347/dblp}, booktitle = {AMIA}, crossref = {conf/amia/2022}, ee = {https://knowledge.amia.org/76677-amia-1.4637602/f006-1.4642154/f006-1.4642155/727-1.4642300/1116-1.4642297}, interhash = {9efaeed4bb4733500253ff34c4f8924e}, intrahash = {5434d19e0d9ee7c3f1c8a17d7533b347}, keywords = {dblp}, publisher = {AMIA}, timestamp = {2024-04-22T07:39:19.000+0200}, title = {Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files.}, url = {http://dblp.uni-trier.de/db/conf/amia/amia2022.html#MoyCWTKR22}, year = 2022 }