Abstract
The process of marital dissolution is a crisis that affects both the couple and their offspring. Many studies have shown how children involved in a marital dissolution could present less adaptation abilities as well as less healthy live habits. The longer the process, the more serious become these problems. Therefore, to be able to take preventive actions would be quite useful towards minimizing the dissolution process impact. This paper aims at supporting the decision of doctors when deciding about a possible treatment to children involved in a dissolution process studying the extension of time that the dissolution procces spend.
Classical statistical techniques as well as latest machine learning algorithms will be applied in order to predict how long the dissolution might take and which parameters could be the most significant. The information used in this study comes from the Spanish government monitorization of the dissolutions during the last years.
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Rico, N., Guillén, A., Tovar, C., Guillén, J.F. (2011). Preventing the Impact of Marital Dissolutions in Children by Regression Techniques. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24352-3_28
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DOI: https://doi.org/10.1007/978-3-642-24352-3_28
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