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Updated: Jan 29, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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评估机器学习模型用于使用人口,临床,生活方式,人体测量和环境暴露因素对糖尿病进行分类

Rifa Tasnia1,2, Emmanuel Obeng-Gyasi1,2

  • 1Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA.

Toxics
|January 28, 2026
PubMed
概括

这项研究引入了一种机器学习模型,该模型通过将环境暴露生物标志物与传统健康数据相结合,改进了糖尿病分类. 改进后的模型在确定成人糖尿病风险方面显示出更高的准确性.

关键词:
这就是ROCAUC.斯莫特 (SMOTE) 是一种类型.环境暴露环境暴露环境暴露显露体 显露体 显露体机器学习是机器学习.多重推算 (MICE) 是一种方法.预测建模预测建模随机的森林随机的森林

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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data09:34

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