About: Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
Creator	Dong, Wei Huang, Xiuzhen Moore, Jason Bellis, Emily Cai, Lingrui Causey, Jason Fowler, Jennifer Hervert, Mitchell Nehring, Sara Qualls, Jake Stubblefield, Jonathan Walker, Karl
Source	MedRxiv
abstract	One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (ARDS) in the emergency room (ER) is distinguishing between cardiac vs infectious etiologies for their pulmonary findings. We evaluated ER patient classification for cardiac and infection causes with clinical data and chest X-ray image data. We show that a deep-learning model trained with an external image data set can be used to extract image features and improve the classification accuracy of a data set that does not contain enough image data to train a deep-learning model. We also conducted clinical feature importance analysis and identified the most important clinical features for ER patient classification. This model can be upgraded to include a SARS-CoV-2 specific classification with COVID-19 patients data. The current model is publicly available with an interface at the web link: http://nbttranslationalresearch.org/.
has issue date	2020-04-15(xsd:dateTime)
bibo:doi	10.1101/2020.04.11.20062091
has license	medrxiv
sha1sum (hex)	fe197d2334a7b53fb85a1de0c1b7e2b4500f0a99
schema:url	https://doi.org/10.1101/2020.04.11.20062091
resource representing a document's title	Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
resource representing a document's body	covid:fe197d2334a7b53fb85a1de0c1b7e2b4500f0a99#body_text
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