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Updated: Jul 5, 2025

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机器学习方法:检测人类呼出的呼吸生物标志物中的疾病变体

Bhuvaneswari Selvaraj1,2, Elakkiya Rajasekar3, John Bosco Balaguru Rayappan1,2

  • 1Centre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed University, Thanjavur, Tamil Nadu 613 401, India.

ACS omega
|January 15, 2024
PubMed
概括

一个使用XGBooster分类器的增强电子鼻子 (eNose) 系统在预测从呼气中排出的多种疾病方面取得了98.36%的准确性. 这一进步整合了商业和新型传感器,以精确检测生物标志物.

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