{"id":1848,"date":"2023-12-20T10:49:39","date_gmt":"2023-12-20T10:49:39","guid":{"rendered":"https:\/\/ivi.ac.rs\/?post_type=project&#038;p=1848"},"modified":"2024-02-28T12:56:04","modified_gmt":"2024-02-28T12:56:04","slug":"prediction-of-recurrence-in-stage-i-iii-melanoma-using-existing-clinicopathologic-features-enabled-by-ai-tool","status":"publish","type":"project","link":"https:\/\/ivi.ac.rs\/en\/project\/prediction-of-recurrence-in-stage-i-iii-melanoma-using-existing-clinicopathologic-features-enabled-by-ai-tool\/","title":{"rendered":"Prediction of recurrence in stage I-III melanoma using existing clinicopathologic features enabled by AI tool"},"content":{"rendered":"\n<p>The project contains comprehensive study aimed at improving the prediction of melanoma recurrence using machine learning (ML) techniques. Drawing from a dataset provided by the Serbian national melanoma registry, it aims to employ a variety of statistical and ML methods to refine the prognosis for melanoma patients. The study on analyzing survival rates, recurrence, and progression-free survival. It includes several ML models and compare these with traditional statistical methods to identify the most effective predictive approach. The goal is to enhance personalized medicine by offering better predictive models for melanoma outcomes<\/p>\n\n\n\n<p><\/p>\n","protected":false},"featured_media":0,"parent":0,"template":"","project_category":[],"class_list":["post-1848","project","type-project","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Prediction of recurrence in stage I-III melanoma using existing clinicopathologic features enabled by AI tool - Istra\u017eiva\u010dko-razvojni institut za ve&scaron;ta\u010dku inteligenciju<\/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:\/\/ivi.ac.rs\/en\/project\/prediction-of-recurrence-in-stage-i-iii-melanoma-using-existing-clinicopathologic-features-enabled-by-ai-tool\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Prediction of recurrence in stage I-III melanoma using existing clinicopathologic features enabled by AI tool - Istra\u017eiva\u010dko-razvojni institut za ve&scaron;ta\u010dku inteligenciju\" \/>\n<meta property=\"og:description\" content=\"The project contains comprehensive study aimed at improving the prediction of melanoma recurrence using machine learning (ML) techniques. Drawing from a dataset provided by the Serbian national melanoma registry, it aims to employ a variety of statistical and ML methods to refine the prognosis for melanoma patients. 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