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US07356521B2 System and method for automatic molecular diagnosis of ALS based on boosting classification 失效
基于增强分类的ALS自动分子诊断系统和方法

System and method for automatic molecular diagnosis of ALS based on boosting classification
摘要：
A method for diagnosing Amyotrophic lateral sclerosis includes providing surface-enhanced laser desorption/ionisation mass spectrometric (SELDI-MS) data of a plurality of proteins, said data obtained from a patient and comprising a plurality of peak values, and analysing said peak values with an alternating decision tree comprising a set of tests of said data peaks values and associated prediction values, wherein said data is predictive of depression if a sum of the prediction values of said tree is greater than 1.0.
摘要（中）：

用于诊断肌萎缩性侧索硬化症的方法包括提供多个蛋白质的表面增强激光解吸/电离质谱（SELDI-MS）数据，所述数据从患者获得并包括多个峰值，并且分析所述峰值与 交替决策树，其包括所述数据峰值和相关联的预测值的一组测试，其中如果所述树的预测值之和大于1.0，则所述数据预示着抑制。

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