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Updated: Jul 9, 2026

Preterm EEG: A Multimodal Neurophysiological Protocol
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在回顾性队列研究中,机器学习使用常规生物标志物预测35岁以下妇女的早产

Xiaojing Teng1, Mengting Liu2, Zhiyi Wang3,4

  • 1Department of Laboratory Medicine, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.

Scientific reports
|March 26, 2025
PubMed
概括

这项研究开发了一种精确的机器学习模型,用于预测35岁以下女性早产风险. XGBoost模型确定了早期干预的关键生物标志物,改善了母亲和婴儿的结果.

关键词:
机器学习是机器学习.预测早产风险预测在SHAP价值分析中,我们分析了SHAP价值.35岁以下的妇女 35岁以下的妇女在XGBoost中使用.

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相关概念视频

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...