在机器学习模型中利用主观参数和生物标志物:lnc-IL7R的可行性用于管理瘤进展

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Tzu-Tao Chen1,2,3,4, Tzu-Yu Cheng5,6,7, I-Jung Liu8

  • 1Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan.

Diagnostics (Basel, Switzerland)
|May 14, 2025
PubMed
概括

一种使用生物标记物长非编码的互白素-7受体α子单元基因 (lnc-Il7R) 的新型机器学习方法显示,它有望在慢性阻塞性肺病 (COPD) 患者中对肺气进行分类.

关键词:
慢性阻塞性肺病 (COPD) 是一种慢性阻塞性肺病.突发性质炎症是什么意思长非编码的互白素-7受体α子单元基因 (lnc-IL7R)机器学习是机器学习.低衰减区域 (LAA%) 的百分比.

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