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Título
SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis
Autor(es)
Materia
Machine learning
Urban
Structural heart diseas
Spatial analysis
Rural
Population
Instituto de Investigación Biomédica de Salamanca (IBSAL)
Clasificación UNESCO
3205.01 Cardiología
Fecha de publicación
2019
Editor
BMJ Open
Citación
Melero-Alegria JI, Cascon M, Romero A, et al. (2019).SALMANTICOR study. Rationale and design of a populationbased study to identify structural heart disease abnormalities: a spatial and machine learning analysis. BMJ Open ;9:e024605. doi:10.1136/ bmjopen-2018-024605
Resumen
[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 to geography and statistics, need to become used for healthcare research and for political commitment to obtain resources and support effective public health programme implementation.
Methods and analysis: We will perform a cross-sectional survey of randomly selected residents of Salamanca (Spain). 2400 individuals stratified by age and sex and by place of residence (rural and urban) will be studied. The variables to analyse will be obtained from the clinical history, different surveys including social status, Mediterranean diet, functional capacity, ECG, echocardiogram, VASERA and biochemical as well as genetic analysis.
Ethics and dissemination: The study has been approved by the ethical committee of the healthcare community. All study participants will sign an informed consent for participation in the study. The results of this study will allow the understanding of the relationship between the different influencing factors and their relative importance weights in the development of structural heart disease.
URI
ISSN
2044-6055
DOI
10.1136/bmjopen-2018-024605
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