The present article proposes an analysis of the application of a data mining technique to classi-fy the localities of the city of Bogotá, where the mental disorders in their inhabitants present themselves with greater incidence. Data from the DANE multipurpose survey was used, and classi-fication methods were used. The corresponding information of the extracted database allowed to make a first filter to the classification, in this only the variables were considered significant for the object of study. The model presents the locality where the incidence in the diagnosis of mental di-sorders is more significant in its inhabitants. Con-sequently the analytical process will be evidenced and the levels of incidence of mental disorders will be ex...
The number of mentally ill people is increasing globally each year. Despite major medical advances, ...
The Big Data revolution is spreading worldwide. The data availability is actually the starting point...
The number of mentally ill people is increasing globally each year. Despite major medical advances, ...
International audienceAt present, network analysis based on the graph theory has become a widely use...
O uso de técnicas de mineração de dados tem produzido resultados importantes em diversas áreas, tais...
La seguridad ciudadana y el combate a la delincuencia constituyen una de las mayores preocupaciones ...
Objective: Obtaining reliable health estimates at the small area level (such as neighbourhoods) usin...
In national and local level, understanding of factors associated with public health issues like ment...
Este estudio tiene como finalidad realizar una propuesta orientada a mejorar el bienestar emocional...
The World Health Organization predicted that depression would be the world's leading cause of disabi...
The geographical distribution of mental health disorders is useful information for epidemiological r...
The article explores data mining algorithms, which based on rules and calculations, that allow us to...
Objective: Obtaining reliable health estimates at the small area level (such as neighbourhoods) usin...
AbstractObjectiveTo apply data mining methods to research on the state of sub-mental health among re...
L’adolescence est une période de vulnérabilité pour la dépression, sur le plan psychologique et biol...
The number of mentally ill people is increasing globally each year. Despite major medical advances, ...
The Big Data revolution is spreading worldwide. The data availability is actually the starting point...
The number of mentally ill people is increasing globally each year. Despite major medical advances, ...
International audienceAt present, network analysis based on the graph theory has become a widely use...
O uso de técnicas de mineração de dados tem produzido resultados importantes em diversas áreas, tais...
La seguridad ciudadana y el combate a la delincuencia constituyen una de las mayores preocupaciones ...
Objective: Obtaining reliable health estimates at the small area level (such as neighbourhoods) usin...
In national and local level, understanding of factors associated with public health issues like ment...
Este estudio tiene como finalidad realizar una propuesta orientada a mejorar el bienestar emocional...
The World Health Organization predicted that depression would be the world's leading cause of disabi...
The geographical distribution of mental health disorders is useful information for epidemiological r...
The article explores data mining algorithms, which based on rules and calculations, that allow us to...
Objective: Obtaining reliable health estimates at the small area level (such as neighbourhoods) usin...
AbstractObjectiveTo apply data mining methods to research on the state of sub-mental health among re...
L’adolescence est une période de vulnérabilité pour la dépression, sur le plan psychologique et biol...
The number of mentally ill people is increasing globally each year. Despite major medical advances, ...
The Big Data revolution is spreading worldwide. The data availability is actually the starting point...
The number of mentally ill people is increasing globally each year. Despite major medical advances, ...