{"id":5064,"date":"2023-09-05T05:37:23","date_gmt":"2023-09-05T05:37:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=5064"},"modified":"2023-09-05T05:37:23","modified_gmt":"2023-09-05T05:37:23","slug":"predicting-self-harm-and-suicide-in-adolescents-using-ml","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/09\/predicting-self-harm-and-suicide-in-adolescents-using-ml\/","title":{"rendered":"Predicci\u00f3n de autolesiones y suicidio en adolescentes mediante ML"},"content":{"rendered":"<p><strong>Investigadores de la Facultad de Medicina Cl\u00ednica de la Universidad de Nueva Gales del Sur han utilizado el aprendizaje autom\u00e1tico (ML) para desarrollar predictores m\u00e1s precisos de autolesiones y suicidios en adolescentes.<\/strong><\/p>\n<p>La salud mental de los adolescentes ha experimentado un declive mundial y las estad\u00edsticas australianas son un fiel reflejo de las de muchas otras sociedades. El suicidio es la principal causa de muerte entre los australianos de 15 a 24 a\u00f1os.<\/p>\n<p>Los predictores actuales, como las autolesiones o los intentos de suicidio anteriores, han demostrado ser s\u00f3lo ligeramente m\u00e1s eficaces que la casualidad. El nuevo modelo predictivo <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0165178123003967?via%3Dihub\">investigadores desarrollaron utilizando ML<\/a> es considerablemente m\u00e1s eficaz.<\/p>\n<p>El conjunto de datos inclu\u00eda informaci\u00f3n procedente de cuestionarios y entrevistas con 2.809 adolescentes participantes en el Estudio Longitudinal de Ni\u00f1os Australianos.<\/p>\n<p>Entre los participantes, 5,2% declararon haber intentado suicidarse al menos una vez en los 12 meses anteriores y 10,5% declararon actos de autolesi\u00f3n.<\/p>\n<p>Utilizando el aprendizaje autom\u00e1tico para analizar los datos, los investigadores hallaron predictores clave m\u00e1s precisos que los utilizados anteriormente por los profesionales de la salud mental.<\/p>\n<p>El rendimiento del modelo ML se midi\u00f3 con la m\u00e9trica \u00c1rea Bajo la Curva (AUC). Se trata de una cifra que oscila entre 0,5 y 1, donde 0,5 es tan buena como lanzar una moneda al aire y 1 es una predicci\u00f3n exacta 100%.<\/p>\n<p>Bas\u00e1ndose \u00fanicamente en los antecedentes de autolesiones e intentos de suicidio se obtuvo un AUC entre 0,63 y 0,647. Esto fue s\u00f3lo ligeramente mejor que adivinar y cay\u00f3 por debajo del rango de 0,7 a 0,8 considerado aceptable para predecir el riesgo.<\/p>\n<p>Los predictores del modelo ML alcanzaron un AUC entre 0,722 y 0,74, lo que es significativamente mejor.<\/p>\n<p>El modelo sorprendi\u00f3 a los investigadores, ya que demostr\u00f3 que las autolesiones o los intentos de suicidio previos no eran un factor de alto riesgo y que el entorno y el apoyo de los padres desempe\u00f1aban papeles m\u00e1s importantes.<\/p>\n<p>El Dr. Lin, uno de los investigadores, afirm\u00f3: \"Hemos descubierto que el entorno del joven desempe\u00f1a un papel m\u00e1s importante de lo que pens\u00e1bamos. Esto es bueno desde el punto de vista de la prevenci\u00f3n, porque ahora sabemos que podemos hacer m\u00e1s por estos individuos.\"<\/p>\n<p>Esta aplicaci\u00f3n de la IA a la atenci\u00f3n de salud mental ayudar\u00e1 a los m\u00e9dicos a evaluar con m\u00e1s precisi\u00f3n a los adolescentes en situaci\u00f3n de riesgo y a intervenir antes.<\/p>\n<p>Seg\u00fan el Dr. Lin, \"a partir de la informaci\u00f3n del paciente, el algoritmo de ML podr\u00eda calcular una puntuaci\u00f3n para cada persona e integrarla en el sistema de historias cl\u00ednicas electr\u00f3nicas. El cl\u00ednico podr\u00eda recuperar r\u00e1pidamente esa informaci\u00f3n para confirmar o ajustar su evaluaci\u00f3n\".<\/p>\n<p>El modelo a\u00fan no est\u00e1 listo para ponerse en pr\u00e1ctica, pero los prometedores resultados indican que es una v\u00eda que merece la pena seguir.<\/p>\n<p>Los historiales m\u00e9dicos contienen muchos datos y el uso de la IA para analizarlos sin duda deparar\u00e1 m\u00e1s sorpresas a los profesionales de la salud.<\/p>","protected":false},"excerpt":{"rendered":"<p>Investigadores de la Facultad de Medicina Cl\u00ednica de la Universidad de Nueva Gales del Sur han utilizado el aprendizaje autom\u00e1tico (ML) para desarrollar predictores m\u00e1s precisos de autolesiones y suicidios en adolescentes. La salud mental de los adolescentes ha sufrido un declive mundial y las estad\u00edsticas australianas son un fiel reflejo de las de muchas otras sociedades. El suicidio es la principal causa de muerte entre los australianos de 15 a 24 a\u00f1os. Los indicadores actuales, como las autolesiones o los intentos de suicidio anteriores, han demostrado ser s\u00f3lo ligeramente m\u00e1s eficaces que el azar. El nuevo modelo de predicci\u00f3n desarrollado por los investigadores mediante ML es considerablemente m\u00e1s eficaz. El sitio<\/p>","protected":false},"author":6,"featured_media":5092,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[150,204,105],"class_list":["post-5064","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-benefits","tag-healthcare","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Predicting self-harm and suicide in adolescents using ML | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2023\/09\/predicting-self-harm-and-suicide-in-adolescents-using-ml\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predicting self-harm and suicide in adolescents using ML | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from the School of Clinical Medicine at the University of New South Wales have used machine learning (ML) to develop more accurate predictors of self-harm and suicide in adolescents. Adolescent mental health has seen a global decline and Australian statistics are a fair reflection of those in many other societies. Suicide is the leading cause of death among Australians aged between 15 and 24. Current predictors like past self-harm or suicide attempts have been found to be only slightly more effective than relying on chance. The new predictive model the researchers developed using ML is considerably more effective. 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