Open AccessData Mining applied to interventional cardiology procedures
Author(s) -
M R Toledo,
E Vázquez,
R García-Salcedo,
Isidro Gómez-Vargas,
Eduardo Uruchurtu,
T. Rivera-Montalvo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1723/1/012034
Subject(s) - cluster analysis , data mining , computer science , medicine , interventional cardiology , mechanism (biology) , data science , intensive care medicine , medical physics , machine learning , philosophy , epistemology
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.