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预后因素研究中的自动变量选择算法 在部疼痛研究中

Bernard X W Liew1, Francisco M Kovacs2, David Rügamer3

  • 1School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester CO4 3SQ, Essex, UK.

Journal of clinical medicine
|October 14, 2023
PubMed
概括

通过比较机器学习和部疼痛恢复预后的统计算法,这项研究发现,随着调整的p值的逐步回归产生了最稀疏的模型. 多变量自适应回归线为部疼痛结果提供了简单性和预测能力的良好平衡.

关键词:
机器学习是机器学习.部疼痛 部疼痛 部疼痛预后 预后 预后统计 统计 统计 统计 统计选择变量的选择变量.

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