Clinical assessment using an algorithm based on fuzzy C-means clustering

A. Guijarro-Rodriguez; L. Cevallos-Torres; J. Yepez-Holguin; M. Botto-Tobar

doi:10.1007/978-3-319-67283-0_14

Clinical assessment using an algorithm based on fuzzy C-means clustering

A. Guijarro-Rodriguez, L. Cevallos-Torres, J. Yepez-Holguin, M. Botto-Tobar

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

1 Citaat (Scopus)

Samenvatting

The Fuzzy c-means (FCM) algorithms define a grouping criterion from a function, which seeks to minimize iteratively the function up to until an optimal fuzzy partition is obtained. In the execution of this algorithm each element to the clusters is related to others that belong in the same n-dimensional space, which means that an element can belong to more than one clusters. This proposal aims to define a fuzzy clustering algorithm which allows the patient classifications based on the clinical assessment of the medical staff. In this work 30 cases were studied using the Glasgow Coma Scale to measure the level of awareness for each one which were prioritized by triage Manchester method. After applying the FCM algorithm the data is separated data into two clusters, thus, verified the fuzzy grouping in patients with a degree of membership that specifies the level of prioritization.

Originele taal-2	Engels
Titel	Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings
Redacteuren	Rafael Valencia-Garcia, Katty Lagos-Ortiz, Javier Del Cioppo, Nestor Vera-Lucio, Martha Bucaram-Leverone, Gema Alcaraz-Marmol
Plaats van productie	Cham
Uitgeverij	Springer
Pagina's	181-193
Aantal pagina's	13
ISBN van elektronische versie	978-3-319-67283-0
ISBN van geprinte versie	978-3-319-67282-3
DOI's	https://doi.org/10.1007/978-3-319-67283-0_14
Status	Gepubliceerd - 2017
Evenement	3rd International Conference on Technologies and Innovation (CITI 2017) - Universidad Agraria del Ecuador, Guayaquil, Ecuador Duur: 24 okt. 2017 → 27 okt. 2017 Congresnummer: 3

Publicatie series

Naam	Communications in Computer and Information Science
Uitgeverij	Springer
Volume	749
ISSN van geprinte versie	1865-0929
ISSN van elektronische versie	1865-0937

Congres

Congres	3rd International Conference on Technologies and Innovation (CITI 2017)
Verkorte titel	CITI 2017
Land/Regio	Ecuador
Stad	Guayaquil
Periode	24/10/17 → 27/10/17

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10.1007/978-3-319-67283-0_14

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Guijarro-Rodriguez, A., Cevallos-Torres, L., Yepez-Holguin, J., & Botto-Tobar, M. (2017). Clinical assessment using an algorithm based on fuzzy C-means clustering. In R. Valencia-Garcia, K. Lagos-Ortiz, J. Del Cioppo, N. Vera-Lucio, M. Bucaram-Leverone, & G. Alcaraz-Marmol (editors), Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings (blz. 181-193). (Communications in Computer and Information Science; Vol. 749). Springer. https://doi.org/10.1007/978-3-319-67283-0_14

Guijarro-Rodriguez, A. ; Cevallos-Torres, L. ; Yepez-Holguin, J. et al. / Clinical assessment using an algorithm based on fuzzy C-means clustering. Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings. redacteur / Rafael Valencia-Garcia ; Katty Lagos-Ortiz ; Javier Del Cioppo ; Nestor Vera-Lucio ; Martha Bucaram-Leverone ; Gema Alcaraz-Marmol. Cham : Springer, 2017. blz. 181-193 (Communications in Computer and Information Science).

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title = "Clinical assessment using an algorithm based on fuzzy C-means clustering",

abstract = "The Fuzzy c-means (FCM) algorithms define a grouping criterion from a function, which seeks to minimize iteratively the function up to until an optimal fuzzy partition is obtained. In the execution of this algorithm each element to the clusters is related to others that belong in the same n-dimensional space, which means that an element can belong to more than one clusters. This proposal aims to define a fuzzy clustering algorithm which allows the patient classifications based on the clinical assessment of the medical staff. In this work 30 cases were studied using the Glasgow Coma Scale to measure the level of awareness for each one which were prioritized by triage Manchester method. After applying the FCM algorithm the data is separated data into two clusters, thus, verified the fuzzy grouping in patients with a degree of membership that specifies the level of prioritization.",

keywords = "Clinical assessment, Fuzzy grouping, Fuzzy logic, Glasgow, Triage",

author = "A. Guijarro-Rodriguez and L. Cevallos-Torres and J. Yepez-Holguin and M. Botto-Tobar",

year = "2017",

doi = "10.1007/978-3-319-67283-0_14",

language = "English",

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series = "Communications in Computer and Information Science",

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booktitle = "Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings",

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Guijarro-Rodriguez, A, Cevallos-Torres, L, Yepez-Holguin, J & Botto-Tobar, M 2017, Clinical assessment using an algorithm based on fuzzy C-means clustering. in R Valencia-Garcia, K Lagos-Ortiz, J Del Cioppo, N Vera-Lucio, M Bucaram-Leverone & G Alcaraz-Marmol (uitgave), Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings. Communications in Computer and Information Science, vol. 749, Springer, Cham, blz. 181-193, 3rd International Conference on Technologies and Innovation (CITI 2017), Guayaquil, Ecuador, 24/10/17. https://doi.org/10.1007/978-3-319-67283-0_14

Clinical assessment using an algorithm based on fuzzy C-means clustering. / Guijarro-Rodriguez, A.; Cevallos-Torres, L.; Yepez-Holguin, J. et al.
Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings. uitgave / Rafael Valencia-Garcia; Katty Lagos-Ortiz; Javier Del Cioppo; Nestor Vera-Lucio; Martha Bucaram-Leverone; Gema Alcaraz-Marmol. Cham: Springer, 2017. blz. 181-193 (Communications in Computer and Information Science; Vol. 749).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Clinical assessment using an algorithm based on fuzzy C-means clustering

AU - Guijarro-Rodriguez, A.

AU - Cevallos-Torres, L.

AU - Yepez-Holguin, J.

AU - Botto-Tobar, M.

N1 - Conference code: 3

PY - 2017

Y1 - 2017

N2 - The Fuzzy c-means (FCM) algorithms define a grouping criterion from a function, which seeks to minimize iteratively the function up to until an optimal fuzzy partition is obtained. In the execution of this algorithm each element to the clusters is related to others that belong in the same n-dimensional space, which means that an element can belong to more than one clusters. This proposal aims to define a fuzzy clustering algorithm which allows the patient classifications based on the clinical assessment of the medical staff. In this work 30 cases were studied using the Glasgow Coma Scale to measure the level of awareness for each one which were prioritized by triage Manchester method. After applying the FCM algorithm the data is separated data into two clusters, thus, verified the fuzzy grouping in patients with a degree of membership that specifies the level of prioritization.

AB - The Fuzzy c-means (FCM) algorithms define a grouping criterion from a function, which seeks to minimize iteratively the function up to until an optimal fuzzy partition is obtained. In the execution of this algorithm each element to the clusters is related to others that belong in the same n-dimensional space, which means that an element can belong to more than one clusters. This proposal aims to define a fuzzy clustering algorithm which allows the patient classifications based on the clinical assessment of the medical staff. In this work 30 cases were studied using the Glasgow Coma Scale to measure the level of awareness for each one which were prioritized by triage Manchester method. After applying the FCM algorithm the data is separated data into two clusters, thus, verified the fuzzy grouping in patients with a degree of membership that specifies the level of prioritization.

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KW - Triage

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BT - Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings

A2 - Valencia-Garcia, Rafael

A2 - Lagos-Ortiz, Katty

A2 - Del Cioppo, Javier

A2 - Vera-Lucio, Nestor

A2 - Bucaram-Leverone, Martha

A2 - Alcaraz-Marmol, Gema

PB - Springer

CY - Cham

T2 - 3rd International Conference on Technologies and Innovation (CITI 2017)

Y2 - 24 October 2017 through 27 October 2017

ER -

Guijarro-Rodriguez A, Cevallos-Torres L, Yepez-Holguin J, Botto-Tobar M. Clinical assessment using an algorithm based on fuzzy C-means clustering. In Valencia-Garcia R, Lagos-Ortiz K, Del Cioppo J, Vera-Lucio N, Bucaram-Leverone M, Alcaraz-Marmol G, redacteurs, Technologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings. Cham: Springer. 2017. blz. 181-193. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-67283-0_14

Clinical assessment using an algorithm based on fuzzy C-means clustering

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