|Title:||Development of a new spatial analysis tool in mental health: Identification of highly autocorrelated areas (hot-spots) of schizophrenia using a Multiobjective Evolutionary Algorithm model (MOEA/HS)||Authors:||García-Alonso, Carlos R.
Negrín Hernández, Miguel Ángel
|UNESCO Clasification:||3314 Tecnología médica||Keywords:||Multiobjective Evolutionary Algorithms
|Issue Date:||2010||Journal:||Epidemiologia e Psichiatria Sociale||Abstract:||Aims - This study had two objectives: 1) to design and develop a computer-based tool, called Multi-Objective Evolutionary Algorithm/Hot-Spots (MOEA/HS), to identify and geographically locate highly autocorrelated zones or hot-spots and which merges different methods, and 2) to carry out a demonstration study in a geographical area where previous information about the distribution of schizophrenia prevalence is available and which can therefore be compared. Methods - Local Indicators of Spatial Aggregation (LISA) models as well as the Bayesian Conditional Autoregressive Model (CAR) were used as objectives in a multicriteria framework when highly autocorrelated zones (hot-spots) need to be identified and geographically located. A Multi-Objective Evolutionary Algorithm (MOEA) model was designed and used to identify highly autocorrelated areas of the prevalence of schizophrenia in Andalusia. Hot-spots were statistically identified using exponential-based QQ-Plots (statistics of extremes). Results - Efficient solutions (Pareto set) from MOEA/HS were analysed statistically and one main hot-spot was identified and spatially located. Our model can be used to identify and locate geographical hot-spots of schizophrenia prevalence in a large and complicated region. Conclusions - MOEA/FIS enables a compromise to be achieved between different econometric methods by highlighting very special zones in complex areas where schizophrenia shows a high autocorrelation.||URI:||http://hdl.handle.net/10553/76167||ISSN:||1121-189X||DOI:||10.1017/S1121189X00000646||Source:||Epidemiologia e Psichiatria Sociale [ISSN 1121-189X], v. 19 (4), p. 302-313, (Octubre-Diciembre 2010)|
|Appears in Collections:||Artículos|
checked on May 22, 2022
WEB OF SCIENCETM
checked on May 22, 2022
checked on Jan 8, 2022
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.