%0 Conference Paper %1 conf/ehealth2/RauchHDB19 %A Rauch, Jens %A Hübner, Ursula %A Denter, Mathias %A Babitsch, Birgit %B dHealth %D 2019 %E Hayn, Dieter %E Eggerth, Alphons %E Schreier, Günter %I IOS Press %K dblp %P 57-64 %T Improving the Prediction of Emergency Department Crowding: A Time Series Analysis Including Road Traffic Flow. %U http://dblp.uni-trier.de/db/conf/ehealth2/dhealth2019.html#RauchHDB19 %V 260 %@ 978-1-61499-971-3

@inproceedings{conf/ehealth2/RauchHDB19, added-at = {2019-05-30T00:00:00.000+0200}, author = {Rauch, Jens and Hübner, Ursula and Denter, Mathias and Babitsch, Birgit}, biburl = {https://www.bibsonomy.org/bibtex/29ba643525090f3f8ae604fb54bc79efc/dblp}, booktitle = {dHealth}, crossref = {conf/ehealth2/2019}, editor = {Hayn, Dieter and Eggerth, Alphons and Schreier, Günter}, ee = {https://doi.org/10.3233/978-1-61499-971-3-57}, interhash = {a4a663f1c38b176e14da541c8964007f}, intrahash = {9ba643525090f3f8ae604fb54bc79efc}, isbn = {978-1-61499-971-3}, keywords = {dblp}, pages = {57-64}, publisher = {IOS Press}, series = {Studies in Health Technology and Informatics}, timestamp = {2024-04-09T12:04:22.000+0200}, title = {Improving the Prediction of Emergency Department Crowding: A Time Series Analysis Including Road Traffic Flow.}, url = {http://dblp.uni-trier.de/db/conf/ehealth2/dhealth2019.html#RauchHDB19}, volume = 260, year = 2019 }