{"id":3098,"date":"2021-01-18T07:53:10","date_gmt":"2021-01-18T07:53:10","guid":{"rendered":"https:\/\/www.registrotumoriveneto.it\/2021\/01\/18\/use-of-an-artificial-neural-network-to-identify-patient-clusters-in-a-large-cohort-of-patients-with-melanoma-by-simultaneous-analysis-of-costs-and-clinical-characteristics\/"},"modified":"2021-01-18T07:53:10","modified_gmt":"2021-01-18T07:53:10","slug":"use-of-an-artificial-neural-network-to-identify-patient-clusters-in-a-large-cohort-of-patients-with-melanoma-by-simultaneous-analysis-of-costs-and-clinical-characteristics","status":"publish","type":"post","link":"https:\/\/www.registrotumoriveneto.it\/en\/english\/publications\/research-publications\/2020\/use-of-an-artificial-neural-network-to-identify-patient-clusters-in-a-large-cohort-of-patients-with-melanoma-by-simultaneous-analysis-of-costs-and-clinical-characteristics\/","title":{"rendered":"Use of an Artificial Neural Network to Identify Patient Clusters in a Large Cohort of Patients with Melanoma by Simultaneous Analysis of Costs and Clinical Characteristics"},"content":{"rendered":"<p><em>Damiani G, Buja A, Grossi E, Rivera M, De Polo A, De Luca G, Zorzi M, Vecchiato A, Del Fiore P, Saia M, Baldo V, Rugge M, Rossi CR, Damiani G.<\/em><\/p>\n<p><em>Acta Derm Venereol. 2020 Nov 18;100(18):adv00323. doi: 10.2340\/00015555-3680.<\/em><\/p>\n<p><!--more--><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p><strong>Pubmed\u00a0<\/strong><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33135769\/\">https:\/\/pubmed.ncbi.nlm.nih.gov\/33135769\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Damiani G, Buja A, Grossi E, Rivera M, De Polo A, De Luca G, Zorzi M, Vecchiato A, Del Fiore P, Saia M, Baldo V, Rugge M, Rossi CR, Damiani G. Acta Derm Venereol. 2020 Nov 18;100(18):adv00323. doi: 10.2340\/00015555-3680.<\/p>\n","protected":false},"author":18,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_helpful_status":1,"footnotes":""},"categories":[400,729,772,791,882],"tags":[],"class_list":["post-3098","post","type-post","status-publish","format-standard","hentry","category-400","category-costs","category-incidence","category-melanoma","category-veneto"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Registro Tumori Veneto &#8212; Use of an Artificial Neural Network to Identify Patient Clusters in a Large Cohort of Patients with Melanoma by Simultaneous Analysis of Costs and Clinical Characteristics<\/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:\/\/www.registrotumoriveneto.it\/en\/english\/publications\/research-publications\/2020\/use-of-an-artificial-neural-network-to-identify-patient-clusters-in-a-large-cohort-of-patients-with-melanoma-by-simultaneous-analysis-of-costs-and-clinical-characteristics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Registro Tumori Veneto &#8212; Use of an Artificial Neural Network to Identify Patient Clusters in a Large Cohort of Patients with Melanoma by Simultaneous Analysis of Costs and Clinical Characteristics\" \/>\n<meta property=\"og:description\" content=\"Damiani G, Buja A, Grossi E, Rivera M, De Polo A, De Luca G, Zorzi M, Vecchiato A, Del Fiore P, Saia M, Baldo V, Rugge M, Rossi CR, Damiani G. 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