A double-bagging machine-learning algorithm was used to train classification rules on the basis of a combination of FDT scores and nerve fiber related visual field losses in SWAP.
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在联合FDT评分和SWAP神经纤维相关的视野缺损基础上用双相机器学习系统排列分类法则。
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