Determining suicide risk in an adolescent population: Questionnaire-based approaches.
Objective: In the context of assessing suicide risk using questionnaires as measurement instruments, the main goals are: (i) to compare the performance of the classification task with knowledge-based algorithms and inferred approaches, and (ii) to reduce the set of questionnaires. Methods: A classif...
| Publicado en: | Health Informatics Journal Vol. 32; no. 1; pp. 1 - 22 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jan-Mar2026
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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=ccm&AN=192656053&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192656053 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14604582 EJK jtl: Health Informatics Journal issn: 14604582 maglogo: Y pubinfo: dt: Jan-Mar2026 vid: 32 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 192656053 192656053 192656053 10.1177/14604582251383777 192656053 ppf: 1 ppct: 21 formats: tig: atl: Determining suicide risk in an adolescent population: Questionnaire-based approaches. aug: au: Varela, Ane Oronoz, Maite Casillas, Arantza Muela, Alexander García-Ormaza, Jon Pérez, Alicia affil: HiTZ Center - Ixa, University of the Basque Country UPV/EHU, Spain sug: subj: Suicide Psychosocial Factors Suicide Risk Factors Questionnaires Evaluation Algorithms Classification Decision Support Systems, Clinical Risk Assessment Spain Human Funding Source Female Male Child Adolescence Professional Knowledge Models, Theoretical Descriptive Statistics Item Analysis Quantitative Studies Pearson's Correlation Coefficient Logistic Regression Support Vector Machine T-Tests Suicide Prevention Methods Task Performance and Analysis Mann-Whitney U Test Machine Learning Psychometrics Sensitivity and Specificity Residential Facilities Child Care Comparative Studies Summated Rating Scaling Scales Beck Hopelessness Scale Child: 6-12 years Adolescent: 13-18 years Female Male ab: Objective: In the context of assessing suicide risk using questionnaires as measurement instruments, the main goals are: (i) to compare the performance of the classification task with knowledge-based algorithms and inferred approaches, and (ii) to reduce the set of questionnaires. Methods: A classification task is performed on the set of questionnaires considering two methods: expert knowledge translated to algorithms and represented as diagrams, and data-inferred machine learning models. Feature ablation is performed to reduce the questionnaire items. Results: Machine learning models are able to detect risk with an F1 macro average score of up to 85%, significantly better than knowledge-based models. The number of questionnaire items can be reduced with no significant impact. Conclusions: Inferred models can be used to predict the level of suicide risk with a reduced set of questionnaires. Moreover, the Suicide Cognitions Scale-Revised questionnaire is seen to be the most impactful in the prediction. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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