{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:40:24Z","timestamp":1779403224769,"version":"3.53.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686615","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,21]]},"abstract":"<jats:p>Suicide is currently the leading cause of preventable death among young people, yet early identification of reattempt risk remains limited by its multifactorial nature, stigma, fragmented data, reliance on subjective assessments, and heavy workloads. The PROSODIC project developed an interpretable machine learning model to predict first suicide reattempts among youths, using routinely collected clinical and sociodemographic data from 1,031 patients in Seville, Spain, aged 5\u201325 years. Logistic Regression achieved the best performance (AUC-ROC = 0.65), balancing accuracy and interpretability. A three-level graded risk scale was derived to guide clinical action. Results highlight social vulnerability, behavioral dysregulation, and care discontinuity as key predictors, supporting the model\u2019s clinical relevance and feasibility for integration into real-world suicide secondary prevention pathways. Limitations include the use of single-site data and moderate discriminative performance; however, future work will extend validation across additional regions to enhance generalizability and robustness.<\/jats:p>","DOI":"10.3233\/shti260264","type":"book-chapter","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:59:47Z","timestamp":1779400787000},"source":"Crossref","is-referenced-by-count":0,"title":["PROSODIC: Predictive Intelligence for Secondary Prevention of Youth Suicide"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4322-6845","authenticated-orcid":false,"given":"Mar\u00eda","family":"Gonz\u00e1lez L\u00f3pez","sequence":"first","affiliation":[{"name":"Computational Health Informatics Group. Institute of Biomedicine of Seville, IBIS\/Virgen del Rocio University Hospital\/CSIC\/University of Seville"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2497-6353","authenticated-orcid":false,"given":"Mar\u00eda Luisa","family":"Barrig\u00f3n Est\u00e9vez","sequence":"additional","affiliation":[{"name":"Mental Health Department, Virgen del Roc\u00edo University Hospital, Seville, Spain\/ Institute of Psychiatry and Mental Health, Gregorio Mara\u00f1\u00f3n University General Hospital\/ Gregorio Mara\u00f1\u00f3n Health Research Institute, IiSGM\/Biomedical Research Consortium in Mental Health Network, CIBERSAM, Carlos III Health Institute"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5790-7346","authenticated-orcid":false,"given":"Miguel","family":"Ruiz-Veguilla","sequence":"additional","affiliation":[{"name":"Biomedical Research Consortium in Mental Health Network, CIBERSAM, Carlos III Health Institute. Translational Psychiatry, Seville Institute of Biomedicine, IBiS\/Department of Psychiatry, University of Seville"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8360-4704","authenticated-orcid":false,"given":"Esther","family":"Rom\u00e1n-Villar\u00e1n","sequence":"additional","affiliation":[{"name":"Computational Health Informatics Group. Institute of Biomedicine of Seville, IBIS\/Virgen del Rocio University Hospital\/CSIC\/University of Seville"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4506-7919","authenticated-orcid":false,"given":"Alberto","family":"Garc\u00eda-Blanco","sequence":"additional","affiliation":[{"name":"Computational Health Informatics Group. Institute of Biomedicine of Seville, IBIS\/Virgen del Rocio University Hospital\/CSIC\/University of Seville"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Opening the Personal Gate between Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260264","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:59:47Z","timestamp":1779400787000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260264"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"ISBN":["9781643686615"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260264","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}