Accuracy of automatic syndromic classification of coded emergency department diagnoses in identifying mental health-related presentations for public health surveillance.
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%0 Journal Article
%1 journals/midm/LiljeqvistMSDL14
%A Liljeqvist, Henning T. G.
%A Muscatello, David
%A Sara, Grant
%A Dinh, Michael
%A Lawrence, Glenda L.
%D 2014
%J BMC Medical Informatics Decis. Mak.
%K dblp
%P 84
%T Accuracy of automatic syndromic classification of coded emergency department diagnoses in identifying mental health-related presentations for public health surveillance.
%U http://dblp.uni-trier.de/db/journals/midm/midm14.html#LiljeqvistMSDL14
%V 14
@article{journals/midm/LiljeqvistMSDL14,
added-at = {2023-09-30T00:00:00.000+0200},
author = {Liljeqvist, Henning T. G. and Muscatello, David and Sara, Grant and Dinh, Michael and Lawrence, Glenda L.},
biburl = {https://www.bibsonomy.org/bibtex/2ea2cf79c197330027f6da2558c354f88/dblp},
ee = {https://www.wikidata.org/entity/Q34256587},
interhash = {9921d99d9d16cbb36d706b6c27337383},
intrahash = {ea2cf79c197330027f6da2558c354f88},
journal = {BMC Medical Informatics Decis. Mak.},
keywords = {dblp},
pages = 84,
timestamp = {2024-04-09T01:40:05.000+0200},
title = {Accuracy of automatic syndromic classification of coded emergency department diagnoses in identifying mental health-related presentations for public health surveillance.},
url = {http://dblp.uni-trier.de/db/journals/midm/midm14.html#LiljeqvistMSDL14},
volume = 14,
year = 2014
}
