首页> Human fertility (Cambridge, England)> Prediction of clinical pregnancy outcome after single fresh blastocyst transfer during in vitro fertilization: an ensemble learning perspective.

Prediction of clinical pregnancy outcome after single fresh blastocyst transfer during in vitro fertilization: an ensemble learning perspective.

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第一作者： Zhiqiang,Liu

第一单位： Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproduction and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital (formerly Shenzhen Zhongshan Urology Hospital), Shenzhen, Guangdong, China.;Guangdong Engineering Technology Research Center of Reproductive Immunology for Peri-implantation, Shenzhen, Guangdong, China.

作者： Zhiqiang,Liu ^[1] ; Hongzhan,Zhang ^[1] ; Feng,Xiong ^[1] ; Xin,Huang ^[1] ; Shuyi,Yu ^[1] ; Qing,Sun ^[1] ; Lianghui,Diao ^[1] ; Zhenjuan,Li ^[1] ; Yulian,Wu ^[1] ; Yong,Zeng ^[1] ; Chunyu,Huang ^[1]

作者单位： Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproduction and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital (formerly Shenzhen Zhongshan Urology Hospital), Shenzhen, Guangdong, China.;Guangdong Engineering Technology Research Center of Reproductive Immunology for Peri-implantation, Shenzhen, Guangdong, China. ^[1]

关键词 IVF Individual machine learning clinical pregnancy outcome prediction ensemble models voting classifier