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使用机器学习方法预测早产

Anna Kloska1, Alicja Harmoza2, Sylwester M Kloska3

  • 1Faculty of Medicine, Bydgoszcz University of Science and Technology, 85796, Bydgoszcz, Poland. anna.kloska@pbs.edu.pl.

Scientific reports
|February 16, 2025
PubMed
概括

机器学习模型可以预测早产风险. 线性支向量机 (SVM) 显示了最高的准确性,为早产预测提供了有前途的早期识别和干预工具.

关键词:
机器学习 机器学习过早分娩 过早分娩是什么过早交付的时间过早交付.在SVM中,SVM是SVM.支持矢量机器的支持矢量机器.

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相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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