HIGHLIGHTS
- who: Yaqian Mao and colleagues from the University of Milan, Italy have published the research: Surgical Methods and Social Factors Are Associated With Long-Term Survival in Follicular Thyroid Carcinoma: Construction and Validation of a Prognostic Model Based on Machine Learning Algorithms, in the Journal: (JOURNAL)
- what: At this time, the parameter settings of the XGBoost model were: Objective: Reg: Logistic, learning_rate: 0.03, max_depth: 3, min_child_weight: 1, reg_lambda: 1. The study showed that the XGBoost model appears to have better predictive accuracy than the traditional AJCC cancer staging system. In this study, the impacts . . .
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