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Updated: Jun 19, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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与COVID-19疾病死亡相关的最重要的变量,基于三个数据挖掘模型:决策树,AdaBoost和支持矢量机:一个横截面研究

Bita Shokri Gharehhasani1, Mansour Rezaei2, Armin Naghipour3

  • 1Taleghani Hospital Kermanshah University of Medical Sciences Kermanshah Iran.

Health science reports
|July 26, 2024
PubMed
概括

与支持矢量机 (SVM) 和AdaBoost模型相比,决策树 (DT) 模型对COVID-19死亡率的预测能力更强. 这一发现表明DT是预测COVID-19结果的宝贵工具.

关键词:
在 AdaBoost 中使用 AdaBoost.根据COVID-19的情况,决策树 决策树是一个决定树.支持向量机器 支持向量机器数据挖掘模型数据挖掘模型死亡死亡死亡死亡死亡死亡有效因素是有效因素.

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