TY  - JOUR 
AU  - Melero-Alegria, Jose Ignacio
AU  - Cascón Barbero, José Manuel
AU  - Romero, Alfonso
AU  - Vara, Pedro Pablo
AU  - Barreiro-Pérez, Manuel
AU  - Vicente-Palacios, Víctor
AU  - Perez-Escanilla, Fernando
AU  - Hernandez-Hernandez, Jesus
AU  - Garde, Beatriz
AU  - Cascon, Sara
AU  - Martín García, Ana
AU  - Diaz-Pelaez, Elena
AU  - de Dios, Jose Maria
AU  - Uribarri González, Aitor
AU  - Jiménez Candil, Francisco Javier
AU  - Cruz González, Ignacio
AU  - Blazquez, Baltasara
AU  - Hernandez, Jose Manuel
AU  - Sanchez-Pablo, Clara
AU  - Santolino, Inmaculada
AU  - Ledesma, Maria Concepcion
AU  - Muriel, Paz
AU  - Dorado Díaz, Pedro Ignacio
AU  - Sánchez Fernández, Pedro Luis
PY  - 2019
SN  - 2044-6055
UR  - http://hdl.handle.net/10366/146076
AB  - [EN]Introduction: This study aims to obtain data on the prevalence and incidence of structural heart disease in a population setting and, to analyse and present those data on the application of spatial and machine learning methods that, although known...
LA  - eng
PB  - BMJ Open
KW  - Machine learning
KW  - Urban
KW  - Structural heart diseas
KW  - Spatial analysis
KW  - Rural
KW  - Population
KW  - Instituto de Investigación Biomédica de Salamanca (IBSAL)
KW  - Heart Diseases
TI  - SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis
DO  - 10.1136/bmjopen-2018-024605
T2  - BMJ Open
VL  - 9
M2  - e024605
ER  -