Prediction of recurrence in stage I-III melanoma using existing clinicopathologic features enabled by AI tool

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