Fuzzy-state machine for triage priority classifier in emergency room

Emmanuel S.Sánchez Velarde; Alejandro A. Sotelo-de Ávila; Itzamná O. Rico-Asención; Nayely R.Budar Alemán; Rodrigo Sánchez González; María G. Ramírez-Sotelo; Agustín I. Cabrera-Llanos

doi:10.1007/978-3-319-19387-8_361

Fuzzy-state machine for triage priority classifier in emergency room

Emmanuel S.Sánchez Velarde, Alejandro A. Sotelo-de Ávila, Itzamná O. Rico-Asención, Nayely R.Budar Alemán, Rodrigo Sánchez González, María G. Ramírez-Sotelo, Agustín I. Cabrera-Llanos

Unidad Profesional Interdisciplinaria de Biotecnología (UPIBI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper, a fuzzy classifier stage of a patient in the emergency room is presented. This classifier is divided into 3 stages: data entry by staff health, the evaluation provided by the software and finally the creation of a report for electronic patient file. A clinical classification system called triage give us the severity and priority of the patient, taking into consideration parameters like consciousness, blood pressure, appearance, temperature, heart rate and respiratory rate, achieving an effective prevaluation. The program is designed for adult patients aged 18 to 40 years.

Original language	English
Title of host publication	World Congress on Medical Physics and Biomedical Engineering, 2015
Editors	David A. Jaffray
Publisher	Springer Verlag
Pages	1488-1491
Number of pages	4
ISBN (Print)	9783319193878
DOIs	https://doi.org/10.1007/978-3-319-19387-8_361
State	Published - 2015
Event	World Congress on Medical Physics and Biomedical Engineering, 2015 - Toronto, Canada Duration: 7 Jun 2015 → 12 Jun 2015

Publication series

Name	IFMBE Proceedings
Volume	51
ISSN (Print)	1680-0737

Conference

Conference	World Congress on Medical Physics and Biomedical Engineering, 2015
Country/Territory	Canada
City	Toronto
Period	7/06/15 → 12/06/15

Keywords

Fuzzy logic
LabVIEW
State machine
Triage

Access to Document

10.1007/978-3-319-19387-8_361

Cite this

Velarde, E. S. S., Sotelo-de Ávila, A. A., Rico-Asención, I. O., Alemán, N. R. B., González, R. S., Ramírez-Sotelo, M. G., & Cabrera-Llanos, A. I. (2015). Fuzzy-state machine for triage priority classifier in emergency room. In D. A. Jaffray (Ed.), World Congress on Medical Physics and Biomedical Engineering, 2015 (pp. 1488-1491). (IFMBE Proceedings; Vol. 51). Springer Verlag. https://doi.org/10.1007/978-3-319-19387-8_361

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abstract = "In this paper, a fuzzy classifier stage of a patient in the emergency room is presented. This classifier is divided into 3 stages: data entry by staff health, the evaluation provided by the software and finally the creation of a report for electronic patient file. A clinical classification system called triage give us the severity and priority of the patient, taking into consideration parameters like consciousness, blood pressure, appearance, temperature, heart rate and respiratory rate, achieving an effective prevaluation. The program is designed for adult patients aged 18 to 40 years.",

keywords = "Fuzzy logic, LabVIEW, State machine, Triage",

author = "Velarde, {Emmanuel S.S{\'a}nchez} and {Sotelo-de {\'A}vila}, {Alejandro A.} and Rico-Asenci{\'o}n, {Itzamn{\'a} O.} and Alem{\'a}n, {Nayely R.Budar} and Gonz{\'a}lez, {Rodrigo S{\'a}nchez} and Ram{\'i}rez-Sotelo, {Mar{\'i}a G.} and Cabrera-Llanos, {Agust{\'i}n I.}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; World Congress on Medical Physics and Biomedical Engineering, 2015 ; Conference date: 07-06-2015 Through 12-06-2015",

year = "2015",

doi = "10.1007/978-3-319-19387-8_361",

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Velarde, ESS, Sotelo-de Ávila, AA, Rico-Asención, IO, Alemán, NRB, González, RS, Ramírez-Sotelo, MG & Cabrera-Llanos, AI 2015, Fuzzy-state machine for triage priority classifier in emergency room. in DA Jaffray (ed.), World Congress on Medical Physics and Biomedical Engineering, 2015. IFMBE Proceedings, vol. 51, Springer Verlag, pp. 1488-1491, World Congress on Medical Physics and Biomedical Engineering, 2015, Toronto, Canada, 7/06/15. https://doi.org/10.1007/978-3-319-19387-8_361

Fuzzy-state machine for triage priority classifier in emergency room. / Velarde, Emmanuel S.Sánchez; Sotelo-de Ávila, Alejandro A.; Rico-Asención, Itzamná O. et al.
World Congress on Medical Physics and Biomedical Engineering, 2015. ed. / David A. Jaffray. Springer Verlag, 2015. p. 1488-1491 (IFMBE Proceedings; Vol. 51).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Fuzzy-state machine for triage priority classifier in emergency room

AU - Velarde, Emmanuel S.Sánchez

AU - Sotelo-de Ávila, Alejandro A.

AU - Rico-Asención, Itzamná O.

AU - Alemán, Nayely R.Budar

AU - González, Rodrigo Sánchez

AU - Ramírez-Sotelo, María G.

AU - Cabrera-Llanos, Agustín I.

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PY - 2015

Y1 - 2015

N2 - In this paper, a fuzzy classifier stage of a patient in the emergency room is presented. This classifier is divided into 3 stages: data entry by staff health, the evaluation provided by the software and finally the creation of a report for electronic patient file. A clinical classification system called triage give us the severity and priority of the patient, taking into consideration parameters like consciousness, blood pressure, appearance, temperature, heart rate and respiratory rate, achieving an effective prevaluation. The program is designed for adult patients aged 18 to 40 years.

AB - In this paper, a fuzzy classifier stage of a patient in the emergency room is presented. This classifier is divided into 3 stages: data entry by staff health, the evaluation provided by the software and finally the creation of a report for electronic patient file. A clinical classification system called triage give us the severity and priority of the patient, taking into consideration parameters like consciousness, blood pressure, appearance, temperature, heart rate and respiratory rate, achieving an effective prevaluation. The program is designed for adult patients aged 18 to 40 years.

KW - Fuzzy logic

KW - LabVIEW

KW - State machine

KW - Triage

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T2 - World Congress on Medical Physics and Biomedical Engineering, 2015

Y2 - 7 June 2015 through 12 June 2015

ER -

Fuzzy-state machine for triage priority classifier in emergency room

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Keywords

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