Application of machine learning techniques to help in the feature selection related to hospital readmissions of suicidal behavior

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dc.contributor.authorCastillo Sánchez, Gema
dc.contributor.authorJojoa Acosta, Mario Fernando
dc.contributor.authorGarcía-Zapirain, Begoña
dc.contributor.authorTorre Díez, Isabel de la
dc.contributor.authorFranco Martín, Manuel Ángel
dc.date.accessioned2025-05-09T11:55:44Z
dc.date.available2025-05-09T11:55:44Z
dc.date.issued2024-02
dc.date.updated2025-05-09T11:55:44Z
dc.description.abstractSuicide was the main source of death from external causes in Spain in 2020, with 3,941 cases. The importance of identifying those mental disorders that influenced hospital readmissions will allow us to manage the health care of suicidal behavior. The feature selection of each hospital in this region was carried out by applying Machine learning (ML) and traditional statistical methods. The results of the characteristics that best explain the readmissions of each hospital after assessment by the psychiatry specialist are presented. Adjustment disorder, alcohol abuse, depressive syndrome, personality disorder, and dysthymic disorder were selected for this region. The most influential methods or characteristics associated with suicide were benzodiazepine poisoning, suicidal ideation, medication poisoning, antipsychotic poisoning, and suicide and/or self-harm by jumping. Suicidal behavior is a concern in our society, so the results are relevant for hospital management and decision-making for its preventionen
dc.identifier.citationCastillo-Sánchez, G., Acosta, M. J., Garcia-Zapirain, B., De la Torre, I., & Franco-Martín, M. (2024). Application of machine learning techniques to help in the feature selection related to hospital readmissions of suicidal behavior. International Journal of Mental Health and Addiction, 22(1), 216-237. https://doi.org/10.1007/S11469-022-00868-0
dc.identifier.doi10.1007/S11469-022-00868-0
dc.identifier.eissn1557-1882
dc.identifier.issn1557-1874
dc.identifier.urihttps://hdl.handle.net/20.500.14454/2705
dc.language.isoeng
dc.publisherSpringer
dc.rights© The Author(s) 2022
dc.subject.otherHospital
dc.subject.otherMachine learning
dc.subject.otherMental disorder
dc.subject.otherReadmissions
dc.subject.otherSuicide prevention
dc.titleApplication of machine learning techniques to help in the feature selection related to hospital readmissions of suicidal behavioren
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage237
oaire.citation.issue1
oaire.citation.startPage216
oaire.citation.titleInternational Journal of Mental Health and Addiction
oaire.citation.volume22
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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