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RDET堆叠分类器:一种基于机器学习的新型方法,用于使用失衡数据预测中风

Amjad Rehman1, Teg Alam2,3, Muhammad Mujahid1

  • 1Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University, Riyadh, Saudi Arabia.

PeerJ. Computer science
|December 11, 2023
PubMed
概括

这项研究引入了一个集体机器学习模型,用于准确预测中风. 拟议的堆叠组合分类器实现了100%的准确性,改善了早期诊断和患者的结果.

关键词:
机器学习是机器学习.在SMOTE中使用.堆叠组合组合堆叠组合组合预测中风的预测投票分类器 投票分类器

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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 survival tree begins...