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

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Article number	012034
Journal	Journal of Physics: Conference Series
Volume	1723
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1723/1/012034
State	Published - 18 Mar 2021
Externally published	Yes
Event	10th International Congress of Physics Engineering, CIIF 2020 - Mexico City, Mexico Duration: 28 Sep 2020 → 30 Sep 2020

Access to Document

10.1088/1742-6596/1723/1/012034

Cite this

@article{265a3e0945ba4ba7a4ac5d79efb1dd03,

title = "Data Mining applied to interventional cardiology procedures",

abstract = "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.",

author = "Toledo, {M. R.} and V{\'a}zquez, {E. R.} and R. Garci{\'a}-Salcedo and I. G{\'o}mez-Vargas and Uruchurtu, {E. S.} and T. Rivera-Montalvo",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 10th International Congress of Physics Engineering, CIIF 2020 ; Conference date: 28-09-2020 Through 30-09-2020",

year = "2021",

month = mar,

day = "18",

doi = "10.1088/1742-6596/1723/1/012034",

language = "Ingl{\'e}s",

volume = "1723",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

number = "1",

}

TY - JOUR

T1 - Data Mining applied to interventional cardiology procedures

AU - Toledo, M. R.

AU - Vázquez, E. R.

AU - Garciá-Salcedo, R.

AU - Gómez-Vargas, I.

AU - Uruchurtu, E. S.

AU - Rivera-Montalvo, T.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2021/3/18

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.

UR - http://www.scopus.com/inward/record.url?scp=85103243675&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1723/1/012034

DO - 10.1088/1742-6596/1723/1/012034

M3 - Artículo de la conferencia

AN - SCOPUS:85103243675

SN - 1742-6588

VL - 1723

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012034

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

Y2 - 28 September 2020 through 30 September 2020

ER -

Data Mining applied to interventional cardiology procedures

Abstract

Access to Document

Other files and links

Fingerprint

Cite this