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Updated: Jan 15, 2026

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
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通过基于网格搜索的预测建模和优化,通过COVID-19死亡率和营养

Ahmed M Elshewey1, Yasser Fouad2, Mona Jamjoom3

  • 1Department of Computer Science, Faculty of Computers and Information, Suez University, P.O.Box:43221, Suez, Egypt.

Scientific reports
|October 6, 2025
PubMed
概括

营养显著影响COVID-19死亡率. 这项研究使用机器学习模型分析饮食因素,发现优化的梯度增强回归器最能预测COVID-19死亡率,强调营养.

关键词:
在 COVID-19 疫情中,预测COVID-19的情况在GS,GS-GBR中使用.网格搜索搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格搜索网格医疗保健 医疗保健 医疗保健 医疗保健机器学习 机器学习

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