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Updated: May 29, 2025

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机器学习用于对慢性病进行分类,并使用家庭测量预测肌素水平

Brady Metherall1, Anna K Berryman2, Georgia S Brennan2

  • 1Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Andrew Wiles Building, Woodstock Rd, Oxford, OX2 6GG, UK. metherall@maths.ox.ac.uk.

Scientific reports
|February 5, 2025
PubMed
概括

机器学习模型对早期慢性病 (CKD) 检测有希望. 随机森林 (RF) 在使用家庭特征对CKD进行分类方面表现优于人工神经网络 (ANN),这表明广泛查的潜力.

关键词:
在家中检测检测.慢性病的分类是慢性病的分类.肌素预测预测 肌素预测机器学习是机器学习.

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