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	Development of a machine learning model for neonatal hyperbilirubinemia risk prediction based on end-tidal carbon monoxide and transcutaneous bilirubin
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doi:10.3969/j.issn.1673-7571.2026.03.011

Development of a machine learning model for neonatal hyperbilirubinemia risk prediction based on end-tidal carbon monoxide and transcutaneous bilirubin

XU Haitao, SHEN Yiyun, SHI Ling, JIN Liying, HUANG Sihong, JIANG Yiling, ZHANG Aiping, WU Zhihao, ZHANG Ruifeng, LUO Meihong

China Digital Medicine ›› 2026, Vol. 21 ›› Issue (3) : 80-88.

China Digital Medicine ›› 2026, Vol. 21 ›› Issue (3) : 80-88. DOI: 10.3969/j.issn.1673-7571.2026.03.011

Development of a machine learning model for neonatal hyperbilirubinemia risk prediction based on end-tidal carbon monoxide and transcutaneous bilirubin

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 21(3): 80-88 https://doi.org/10.3969/j.issn.1673-7571.2026.03.011

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