随机森林分析:一种新的β地中海贫血分类方法

M. Sacco, M. Sciandra, A. Maggio
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引用次数: 0

摘要

近年来,由于输血治疗在确定临床并发症方面的既定作用,地中海贫血护理提供者开始将患者分类为输血依赖型地中海贫血(TDT)或非输血依赖型地中海贫血(NTDT),尽管这种分类也是基于专家意见,并受到患者当前输血状况的限制。从指示严重表型的大量变量开始,通过使用分类和聚类技术,我们希望探索两种(TDT vs NTDT)或更多聚类的存在,以便接近地中海贫血综合征(TS)中β -地中海贫血分类的新定义。
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Random Forest Analysis: A New Approach for Classification of Beta Thalassemia
In recent years, Thalassemia care providers started classifying patients as transfusion-dependent-Thalassemia (TDT) or non-transfusion-dependent-Thalassemia (NTDT) owing to the established role of transfusion therapy in defining the clinical complication profile, although this classification was also based on expert opinion and is limited by reliance on patients’current transfusion status. Starting from a vast set of variables indicating severity phenotype, through the use of both classification and clustering techniques we want to explore the presence of two (TDT vs NTDT) or more clusters, in order to approaching to a new definition for the classification of Beta-Thalassemia in Thalassemia Syndromes (TS).
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