{"id":55067,"date":"2022-03-08T09:27:17","date_gmt":"2022-03-08T08:27:17","guid":{"rendered":"https:\/\/smarthealth.live\/?p=55067"},"modified":"2022-03-04T12:27:49","modified_gmt":"2022-03-04T11:27:49","slug":"lutilisation-de-lapprentissage-automatique-pour-prevenir-le-suicide-reste-un-defi","status":"publish","type":"post","link":"https:\/\/smarthealth.live\/fr\/2022\/03\/08\/lutilisation-de-lapprentissage-automatique-pour-prevenir-le-suicide-reste-un-defi\/","title":{"rendered":"L'utilisation de l\u2019apprentissage automatique pour pr\u00e9venir le suicide reste un d\u00e9fi"},"content":{"rendered":"\n<p><strong>Selon de nombreuses recherches scientifiques, <a href=\"https:\/\/smarthealth.live\/fr\/2021\/05\/05\/jeu-video-veut-apprendre-aux-jeunes-a-gerer-les-pensees-suicidaires\/\">le comportement suicidaire <\/a>peut \u00eatre de mieux en mieux pr\u00e9dit gr\u00e2ce \u00e0 l'apprentissage automatique. Une \u00e9tude d'ensemble de diverses universit\u00e9s internationales montre qu\u2019il peut \u00eatre utilis\u00e9 en pr\u00e9vention. N\u00e9anmoins, le d\u00e9veloppement de la technologie et sa pratique concr\u00e8te sont encore \u00e0 une phase initiale.<\/strong><\/p>\n\n\n\n<p>Ces derni\u00e8res ann\u00e9es, de nombreuses \u00e9tudes ont \u00e9t\u00e9 r\u00e9alis\u00e9es sur l'apprentissage automatique pour pr\u00e9dire les comportements suicidaires. L'id\u00e9e est qu'un algorithme d'auto-apprentissage puisse aider les m\u00e9decins \u00e0 discuter de la suicidalit\u00e9 avec les patients \u00e0 haut risque. Une \u00e9tude de synth\u00e8se r\u00e9alis\u00e9e par <em>The Lancet Psychiatry<\/em> montre qu'il existe un int\u00e9r\u00eat, mais aussi de nombreuses possibilit\u00e9s d'erreurs. La mani\u00e8re dont les comportements suicidaires sont enregistr\u00e9s, par exemple, peut encore \u00eatre am\u00e9lior\u00e9e.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-encore-des-progres-a-faire\">Encore des progr\u00e8s \u00e0 faire<\/h3>\n\n\n\n<p>Plusieurs \u00e9tudes prouvent que l'apprentissage automatique peut \u00eatre utilis\u00e9 pour pr\u00e9dire la suicidalit\u00e9. Pourtant, m\u00eame les meilleurs algorithmes font encore relativement beaucoup d'erreurs (lire : faux positifs). M\u00eame pour les algorithmes les plus avanc\u00e9s, il reste difficile de pr\u00e9dire un comportement suicidaire, principalement parce qu'il r\u00e9sulte d'interactions complexes entre de nombreux facteurs. L'environnement dans lequel une personne a grandi joue un r\u00f4le. Mais aussi des \u00e9v\u00e9nements majeurs, le risque de d\u00e9pression et toutes sortes d'autres variables sont n\u00e9cessaires pour pouvoir pr\u00e9dire un comportement suicidaire. N\u00e9anmoins, il est possible d'inclure cette coh\u00e9rence complexe gr\u00e2ce \u00e0 l'apprentissage automatique et d'am\u00e9liorer la pr\u00e9diction.<\/p>\n\n\n\n<p>De plus, il reste \u00e0 d\u00e9terminer si un algorithme peut \u00eatre utilis\u00e9 pour la pr\u00e9vention du suicide. Quelle analyse peut en tirer un th\u00e9rapeute si les chercheurs peuvent pr\u00e9dire un suicide avec une pr\u00e9cision de 80&nbsp;%&nbsp;? L'apprentissage automatique peut \u00eatre utile si l'attention n'est pas seulement port\u00e9e sur la signalisation, mais aussi sur les trajectoires de soins apr\u00e8s la pr\u00e9diction du comportement suicidaire. De plus, selon les chercheurs, il existe d'autres types de d\u00e9fis : la qualit\u00e9 d'une telle pr\u00e9diction est-elle toujours exacte ? Est-il \u00e9thique d'utiliser des donn\u00e9es objectives pour pr\u00e9dire le suicide&nbsp;?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">L\u2019apprentissage automatique reste un outil utile<\/h3>\n\n\n\n<p>Pourtant, tous ces probl\u00e8mes ne signifient pas que l'apprentissage automatique ne peut pas \u00eatre utilis\u00e9 pour les soins de sant\u00e9. Par exemple, des calculs informatiques complexes peuvent pr\u00e9dire avec pr\u00e9cision o\u00f9 se situe une tumeur dans le corps ou quel est le moment optimal pour \u00eatre transf\u00e9r\u00e9 aux soins intensifs. Au Leiden University Medical Center (LUMC), par exemple, des recherches ont d\u00e9j\u00e0 \u00e9t\u00e9 men\u00e9es avec des algorithmes sur les changements dans la perception de la sant\u00e9 des patients. Les chercheurs du LUMC et de Salut ont utilis\u00e9 pour la premi\u00e8re fois aux Pays-Bas la technologie d'apprentissage automatique \u00e0 partir de la technologie de la parole.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Le comportement suicidaire peut \u00eatre de mieux en mieux pr\u00e9dit gr\u00e2ce \u00e0 l'apprentissage automatique, mais il reste encore des progr\u00e8s \u00e0 faire.<\/p>\n","protected":false},"author":43,"featured_media":55059,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4653,4660],"tags":[5507,4836,4826,4878,4880,5771,5744],"class_list":["post-55067","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-recherche","category-technologie-fr","tag-digital-therapeutics-2","tag-e-sante","tag-innovation","tag-soins-a-distance","tag-soins-numeriques","tag-suicide-2","tag-therapie-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.8 (Yoast SEO v27.8) - 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