{"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\/it\/2023\/09\/predicting-self-harm-and-suicide-in-adolescents-using-ml\/","title":{"rendered":"Prevedere l'autolesionismo e il suicidio negli adolescenti utilizzando il metodo ML"},"content":{"rendered":"<p><strong>I ricercatori della School of Clinical Medicine della University of New South Wales hanno utilizzato l'apprendimento automatico (ML) per sviluppare predittori pi\u00f9 accurati di autolesionismo e suicidio negli adolescenti.<\/strong><\/p>\n<p>La salute mentale degli adolescenti ha subito un declino globale e le statistiche australiane rispecchiano quelle di molte altre societ\u00e0. Il suicidio \u00e8 la principale causa di morte tra gli australiani di et\u00e0 compresa tra i 15 e i 24 anni.<\/p>\n<p>I predittori attuali, come i precedenti atti di autolesionismo o i tentativi di suicidio, sono risultati solo leggermente pi\u00f9 efficaci rispetto al caso. Il nuovo modello predittivo del <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0165178123003967?via%3Dihub\">i ricercatori hanno sviluppato utilizzando il ML<\/a> \u00e8 notevolmente pi\u00f9 efficace.<\/p>\n<p>Il set di dati comprendeva il feedback di questionari e interviste a 2.809 adolescenti partecipanti al Longitudinal Study of Australian Children.<\/p>\n<p>Tra i partecipanti, 5,2% hanno riferito di aver tentato il suicidio almeno una volta nei 12 mesi precedenti e 10,5% hanno riferito atti di autolesionismo.<\/p>\n<p>Utilizzando l'apprendimento automatico per analizzare i dati, i ricercatori hanno trovato predittori chiave pi\u00f9 accurati di quelli precedentemente utilizzati dagli operatori della salute mentale.<\/p>\n<p>Le prestazioni del modello ML sono state misurate con la metrica Area Under the Curve (AUC). Si tratta di un valore che va da 0,5 a 1, dove 0,5 corrisponde a un'ipotesi pari al lancio di una moneta e 1 a una previsione accurata di 100%.<\/p>\n<p>Basandosi esclusivamente sull'anamnesi precedente di autolesionismo e tentativi di suicidio si \u00e8 ottenuta un'AUC tra 0,63 e 0,647. Si tratta di un risultato solo leggermente migliore rispetto all'ipotesi e inferiore all'intervallo di 0,7-0,8 considerato accettabile per la previsione del rischio.<\/p>\n<p>I predittori del modello ML hanno ottenuto un'AUC compresa tra 0,722 e 0,74, significativamente migliore.<\/p>\n<p>Il modello ha sorpreso i ricercatori perch\u00e9 ha dimostrato che precedenti autolesionismi o tentativi di suicidio non erano un fattore di rischio elevato e che l'ambiente e il sostegno dei genitori svolgevano un ruolo pi\u00f9 importante.<\/p>\n<p>Il dottor Lin, uno dei ricercatori, ha dichiarato: \"Abbiamo scoperto che l'ambiente in cui vivono i giovani gioca un ruolo pi\u00f9 importante di quanto pensassimo. Questo \u00e8 un aspetto positivo dal punto di vista della prevenzione, perch\u00e9 ora sappiamo che possiamo fare di pi\u00f9 per questi individui\".<\/p>\n<p>Questa applicazione dell'IA nell'ambito della salute mentale aiuter\u00e0 i medici ad essere pi\u00f9 precisi nella valutazione degli adolescenti a rischio e a intervenire prima.<\/p>\n<p>Il dottor Lin ha affermato che \"sulla base delle informazioni del paziente, l'algoritmo di ML potrebbe calcolare un punteggio per ogni persona, che potrebbe essere integrato nel sistema di cartelle cliniche elettroniche. Il medico potrebbe recuperare rapidamente queste informazioni per confermare o modificare la propria valutazione\".<\/p>\n<p>Il modello non \u00e8 ancora pronto per essere applicato nella pratica, ma i risultati promettenti indicano che \u00e8 una strada che vale la pena percorrere.<\/p>\n<p>Le cartelle cliniche contengono una grande quantit\u00e0 di dati e l'utilizzo dell'IA per analizzarli riserver\u00e0 senza dubbio ulteriori sorprese agli operatori sanitari.<\/p>","protected":false},"excerpt":{"rendered":"<p>Ricercatori della School of Clinical Medicine della University of New South Wales hanno utilizzato l'apprendimento automatico (ML) per sviluppare predittori pi\u00f9 accurati di autolesionismo e suicidio negli adolescenti. La salute mentale degli adolescenti ha subito un declino globale e le statistiche australiane rispecchiano quelle di molte altre societ\u00e0. Il suicidio \u00e8 la principale causa di morte tra gli australiani di et\u00e0 compresa tra i 15 e i 24 anni. Gli attuali predittori, come i precedenti atti di autolesionismo o i tentativi di suicidio, sono risultati solo leggermente pi\u00f9 efficaci rispetto al caso. Il nuovo modello predittivo sviluppato dai ricercatori con il metodo ML \u00e8 notevolmente pi\u00f9 efficace. Il<\/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\/it\/2023\/09\/predicting-self-harm-and-suicide-in-adolescents-using-ml\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\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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