Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Colon Cance r is the subject of a report. According to news originating from Krakow, Poland, by NewsRx correspondents, research stated, “Colorectal cancer is one of the mos t prevalent forms of cancer and is associated with a high mortality rate. Additi onally, an increasing number of adults under 50 are being diagnosed with the dis ease.” Our news journalists obtained a quote from the research from the Cracow Universi ty of Technology, “This underscores the importance of leveraging modern technolo gies, such as artificial intelligence, for early diagnosis and treatment support . Eight classifiers were utilized in this research: Random Forest, XGBoost, CatB oost, LightGBM, Gradient Boosting, Extra Trees, the k-nearest neighbor algorithm (KNN), and decision trees. These algorithms were optimized using the frameworks Optuna, RayTune, and HyperOpt. This study was conducted on a public dataset fro m Brazil, containing information on tens of thousands of patients. The models de veloped in this study demonstrated high classification accuracy in predicting on e-, three-, and five-year survival, as well as overall mortality and cancer-spec ific mortality. The CatBoost, LightGBM, Gradient Boosting, and Random Forest cla ssifiers delivered the best performance, achieving an accuracy of approximately 80% across all the evaluated tasks.”
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