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Updated: Jun 17, 2025

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

Published on: January 11, 2020

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开发一种诊断预测模型,用于确定马拉维儿童的发展迟缓:对变量选择方法的比较分析

Jonathan Mkungudza1, Halima S Twabi2, Samuel O M Manda3

  • 1Department of Mathematical Sciences, University of Malawi, Zomba, Malawi.

BMC medical research methodology
|August 8, 2024
PubMed
概括

用各种可变选择方法比较了儿童发育迟缓预测模型. 判断方法确定了关键的风险因素,产生了一个有用的模型,用于早期识别有风险的儿童进行营养干预.

关键词:
区域下接收机运营商曲线 (AUROC)儿童发育迟缓是儿童发育迟缓的一个原因.MDHS MDHS 的意思是什么模型模型模型模型模型预测 预测 预测

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