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Updated: Jun 14, 2025

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure
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获得最准确,可解释的模型来预测慢性阻塞性肺病:多重线性回归和机器学习方法的三角化

Arnold Kamis1, Nidhi Gadia1, Zilin Luo1

  • 1Brandeis International Business School, Brandeis University, Waltham, MA, United States.

JMIR AI
|August 29, 2024
PubMed
概括

机器学习模型使用各种数据准确预测慢性阻塞性肺病 (COPD) 发生率. 吸烟和收入是关键预测因素,为有针对性的公共卫生干预提供信息.

关键词:
慢性慢性肺炎是一种慢性慢性肺炎,COPD是一种慢性肺炎.慢性阻塞性肺病 慢性阻塞性肺病香烟吸烟吸烟吸烟吸烟吸烟吸烟吸烟吸烟吸烟吸烟民族和种族的差异.家庭收入 家庭收入机器学习是机器学习.多重线性回归的多重线性回归.实用模型实用模型模型

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