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Updated: Jun 19, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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使用机器学习组合方法改进甲基酸血病患者的二级分类.

Zhi-Xing Zhu1, Georgi Z Genchev2, Yan-Min Wang3

  • 1Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Center for Biomedical Informatics, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

World journal of pediatrics : WJP
|February 24, 2024
PubMed
概括

这项研究开发了机器学习模型,以减少甲基酸血症 (MMA) 诊断中的错误阳性. 新模型提高了新生儿MMA识别的准确性,减轻了诊断负担.

关键词:
机器学习 机器学习甲基马洛尼酸血症 甲基马洛尼酸血症第二层测试测试的第二层测试.堆叠堆叠 在堆叠堆叠.

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