Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior.
Suicide 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...
| Publicado en: | International Journal of Mental Health & Addiction Vol. 22; no. 1; pp. 216 - 238 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Springer Nature
Feb2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=175634535&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 175634535 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 15571874 46AW jtl: International Journal of Mental Health & Addiction issn: 15571874 maglogo: N pubinfo: dt: Feb2024 vid: 22 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 175634535 10.1007/s11469-022-00868-0 ppf: 216 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.7MB tig: atl: Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior. aug: au: Castillo-Sánchez, Gema Acosta, Mario Jojoa Garcia-Zapirain, Begonya De la Torre, Isabel Franco-Martín, Manuel affil: https://ror.org/01fvbaw18 Department of Signal Theory and Communications, and Telematics Engineering, Universidad de Valladolid, Paseo de Belén 15, 47011, Valladolid, Spain https://ror.org/00ne6sr39 eVida Research Laboratory, The University of Deusto, Bilbao, Spain Psychiatry Service, Healthcare Complex, Zamora, Spain su: Spain Suicidal behavior Feature selection Dysthymic disorder Patient readmissions Machine learning Drug toxicity sug: subj: Suicidal behavior Spain Feature selection Dysthymic disorder Patient readmissions Machine learning Drug toxicity keyword: Hospital Mental disorder Readmissions Suicide prevention Hospital Mental disorder Readmissions Suicide prevention ab: Suicide 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 prevention. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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