A model for predicting court decisions on child custody.

Awarding joint or sole custody is of crucial importance for the lives of both the child and the parents. This paper first models the factors explaining a court's decision to grant child custody and later tests the predictive capacity of the proposed model. We conducted an empirical study using...

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Autores principales:	José Félix Muñoz Soro, Carlos Serrano-Cinca
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9773f447cdc1416da0b91da08dffd21d
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spelling	oai:doaj.org-article:9773f447cdc1416da0b91da08dffd21d2021-12-02T20:16:38ZA model for predicting court decisions on child custody.1932-620310.1371/journal.pone.0258993https://doaj.org/article/9773f447cdc1416da0b91da08dffd21d2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258993https://doaj.org/toc/1932-6203Awarding joint or sole custody is of crucial importance for the lives of both the child and the parents. This paper first models the factors explaining a court's decision to grant child custody and later tests the predictive capacity of the proposed model. We conducted an empirical study using data from 1,884 court rulings, identifying and labeling factual elements, legal principles, and other relevant information. We developed a neural network model that includes eight factual findings, such as the relationship between the parents and their economic resources, the child's opinion, and the psychological report on the type of custody. We performed a temporal validation using cases later in time than those in the training sample for prediction. Our system predicted the court's decisions with an accuracy exceeding 85%. We obtained easy-to-apply decision rules with the decision tree technique. The paper contributes by identifying the factors that best predict joint custody, which is useful for parents, lawyers, and prosecutors. Parents would do well to know these findings before venturing into a courtroom.José Félix Muñoz SoroCarlos Serrano-CincaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258993 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q José Félix Muñoz Soro Carlos Serrano-Cinca A model for predicting court decisions on child custody.
description	Awarding joint or sole custody is of crucial importance for the lives of both the child and the parents. This paper first models the factors explaining a court's decision to grant child custody and later tests the predictive capacity of the proposed model. We conducted an empirical study using data from 1,884 court rulings, identifying and labeling factual elements, legal principles, and other relevant information. We developed a neural network model that includes eight factual findings, such as the relationship between the parents and their economic resources, the child's opinion, and the psychological report on the type of custody. We performed a temporal validation using cases later in time than those in the training sample for prediction. Our system predicted the court's decisions with an accuracy exceeding 85%. We obtained easy-to-apply decision rules with the decision tree technique. The paper contributes by identifying the factors that best predict joint custody, which is useful for parents, lawyers, and prosecutors. Parents would do well to know these findings before venturing into a courtroom.
format	article
author	José Félix Muñoz Soro Carlos Serrano-Cinca
author_facet	José Félix Muñoz Soro Carlos Serrano-Cinca
author_sort	José Félix Muñoz Soro
title	A model for predicting court decisions on child custody.
title_short	A model for predicting court decisions on child custody.
title_full	A model for predicting court decisions on child custody.
title_fullStr	A model for predicting court decisions on child custody.
title_full_unstemmed	A model for predicting court decisions on child custody.
title_sort	model for predicting court decisions on child custody.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/9773f447cdc1416da0b91da08dffd21d
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A model for predicting court decisions on child custody.

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