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dc.date.accessioned 2021-09-21T14:19:17Z
dc.date.available 2021-09-21T14:19:17Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/125254
dc.description.abstract Chronic Obstructive Pulmonary Disease (COPD) is a critical and major social health problem. Comorbidities and coexisting conditions and symptoms are associated with and affected the whole body of COPD patients. Regarding the Exacerbation COPD patient, the Emergency Department (ED) and Emergency Medical Service (EMS) responsibility is managing, decision making, treating the initial response to the COPD patient. During the process, the head nurse and emergency medicine specialist should make various decisions for COPD patients. The first aims of this research is to create a new conceptual model to investigate the model of COPD patient, exacerbation COPD in EMS, Multiple COPD pathologies in ED, nurse action in the emergency box, nurse decision making, evaluation of the patient's condition, and reaction to the emergency box. The second purpose of this research is to create a computational model which will concentrate on the simulation model to use the probabilistic finite- state machines for training the nurses for professional decision with treatment and decision without treatment to evolves nurse with intervention to prevent exacerbation of COPD patients. en
dc.format.extent 59-63 es
dc.language en es
dc.subject Simulation es
dc.subject COPD es
dc.subject Pathologies es
dc.subject Emergency Department (ED) es
dc.subject Emergency Medical Service (EMS) es
dc.title Modelling and Simulation of the COPD Patient and Clinical Staff in the Emergency Department (ED) en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-2016-4 es
sedici.creator.person Hallaj Asghar, Mohsen es
sedici.creator.person Vicente-Villalba, Alex es
sedici.creator.person Wong, Alvaro es
sedici.creator.person Rexachs del Rosario, Dolores es
sedici.creator.person Luque Fadón, Emilio es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2021
sedici.relation.event IX Jornadas de Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 22 al 25 de junio de 2021) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/121564 es
sedici.relation.bookTitle Short papers of the 9th Conference on Cloud Computing Conference, Big Data & Emerging Topics es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)