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Updated: Jun 5, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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使用决策树和线性回归在大量人群中预测高灵敏度C-反应蛋白水平及其关联

Somayeh Ghiasi Hafezi1,2, Toktam Sahranavard3, Alireza Kooshki3

  • 1Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.

Scientific reports
|December 5, 2024
PubMed
概括

高灵敏性C反应蛋白 (hs-CRP) 水平是炎症的标志物,可以使用焦虑,抑郁和血压等因素来预测. 一个决策树模型在预测成年人hs-CRP时达到70%以上的准确性.

关键词:
决策树 决策树是一个决策树.人口结构参数 人口结构参数血液学因素 血液学因素高灵敏度的C-反应蛋白.

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