Machine learning approach identifies meconium metabolites as potential biomarkers of neonatal hyperbilirubinemia

Author:

Zeng Shujuan,Wang Zhangxing,Zhang Peng,Yin Zhaoqing,Huang Xunbin,Tang Xisheng,Shi Lindong,Guo Kaiping,Liu Ting,Wang Mingbang,Qiu Huixian

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference48 articles.

1. Hyperbilirubinemia in the newborn;Lauer;Pediatr Rev,2011

2. [Epidemiologic survey for hospitalized neonates in China]. Zhongguo Dang Dai Er Ke Za Zhi. 2009;11(1):15–20.

3. Neonatal hyperbilirubinemia and Rhesus disease of the newborn: incidence and impairment estimates for 2010 at regional and global levels;Bhutani;Pediatr Res,2013

4. [Clinical characteristics of bilirubin encephalopathy in Chinese newborn infants-a national multicenter survey]. Zhonghua Er Ke Za Zhi. 2012;50(5):331–5.

5. Development of intestinal microbiota in infants and its impact on health;Matamoros;Trends Microbiol,2013

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