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Updated: Jun 3, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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在孟加拉国使用机器学习方法预测幼儿脏风险

Fardous Hasan1, Maha El Tantawi2,3, Farzana Haque1

  • 1Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.

BMC oral health
|January 8, 2025
PubMed
概括

这项研究开发了一种机器学习模型,使用母婴对的10个关键健康行为来预测幼儿 (ECC). 牙斑被确定为ECC最强的预测因素.

关键词:
人工智能的人工智能是人工智能.孩子 孩子 孩子 孩子牙腐烂是指牙的腐烂.机器学习 机器学习风险 风险 风险 风险 风险

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相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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