论文标题
基于Brier分数的综合生存眼镜蛇 - 基于回归的方法
Integrated Brier Score based Survival Cobra -- A regression based approach
论文作者
论文摘要
最近Goswami等。 \ cite {goswami2022Concordance}引入了两个新型的回归策略实现，以找到条件生存函数。本文使用基于回归的弱学习者，并使用集成的Brier评分提供了组合回归策略（COBRA）合奏的替代版本来预测条件生存函数。我们基于所有机器预测的加权版本创建一个新颖的预测变量，将权重作为标准化集成式布里尔分数的特定函数。我们使用两个不同的规范（Frobenius和SUP Norm）来提取算法中的接近点。我们的实施也考虑了右审核数据。我们通过一些现实生活数据分析说明了提出的算法。
Recently Goswami et al. \cite{goswami2022concordance} introduced two novel implementations of combined regression strategy to find the conditional survival function. The paper uses regression-based weak learners and provides an alternative version of the combined regression strategy (COBRA) ensemble using the Integrated Brier Score to predict conditional survival function. We create a novel predictor based on a weighted version of all machine predictions taking weights as a specific function of normalized Integrated Brier Score. We use two different norms (Frobenius and Sup norm) to extract the proximity points in the algorithm. Our implementations consider right-censored data too. We illustrate the proposed algorithms through some real-life data analysis.
