Data Mining applied to interventional cardiology procedures

M. R. Toledo; E. R. Vázquez; R. Garciá-Salcedo; I. Gómez-Vargas; E. S. Uruchurtu; T. Rivera-Montalvo

doi:10.1088/1742-6596/1723/1/012034

Data Mining applied to interventional cardiology procedures

M. R. Toledo, E. R. Vázquez, R. Garciá-Salcedo, I. Gómez-Vargas, E. S. Uruchurtu, T. Rivera-Montalvo

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

Resumen

The diagnosis in the cardiological treatment is fundamental. Computational algorithms allow to analyse better the available medical data from a huge number of patients and use it to improve the diagnosis mechanism. In this work data from several patients of a Mexican cardiological Institute was recollected and prepossessed to analyse it with a data mining technique called clustering.

Idioma original	Inglés
Número de artículo	012034
Publicación	Journal of Physics: Conference Series
Volumen	1723
N.º	1
DOI	https://doi.org/10.1088/1742-6596/1723/1/012034
Estado	Publicada - 18 mar. 2021
Publicado de forma externa	Sí
Evento	10th International Congress of Physics Engineering, CIIF 2020 - Mexico City, México Duración: 28 sep. 2020 → 30 sep. 2020

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AU - Vázquez, E. R.

AU - Garciá-Salcedo, R.

AU - Gómez-Vargas, I.

AU - Uruchurtu, E. S.

AU - Rivera-Montalvo, T.

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Y1 - 2021/3/18

N2 - The diagnosis in the cardiological treatment is fundamental. Computational algorithms allow to analyse better the available medical data from a huge number of patients and use it to improve the diagnosis mechanism. In this work data from several patients of a Mexican cardiological Institute was recollected and prepossessed to analyse it with a data mining technique called clustering.

AB - The diagnosis in the cardiological treatment is fundamental. Computational algorithms allow to analyse better the available medical data from a huge number of patients and use it to improve the diagnosis mechanism. In this work data from several patients of a Mexican cardiological Institute was recollected and prepossessed to analyse it with a data mining technique called clustering.

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T2 - 10th International Congress of Physics Engineering, CIIF 2020

Y2 - 28 September 2020 through 30 September 2020

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Data Mining applied to interventional cardiology procedures

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