Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis
通过尿液代谢组学分析预测正常和复杂妊娠妊娠周数的机器学习方法
期刊:Scientific Reports
影响因子:3.8
doi:10.1038/s41598-021-97342-z
Takafumi Yamauchi, Daisuke Ochi, Naomi Matsukawa, Daisuke Saigusa, Mami Ishikuro, Taku Obara, Yoshiki Tsunemoto, Satsuki Kumatani, Riu Yamashita, Osamu Tanabe, Naoko Minegishi, Seizo Koshiba, Hirohito Metoki, Shinichi Kuriyama, Nobuo Yaegashi, Masayuki Yamamoto, Masao Nagasaki, Satoshi Hiyama, Junic
