典型文献
Predicting cumulative live birth rate for patients undergoing
in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
文献摘要：
文献关键词：
中图分类号：
作者姓名：
Chen Zhiyan;Zhang Duoduo;Zhen Jingran;Sun Zhengyi;Yu Qi
作者机构：
Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
文献出处：
引用格式：
[1]Chen Zhiyan;Zhang Duoduo;Zhen Jingran;Sun Zhengyi;Yu Qi-.Predicting cumulative live birth rate for patients undergoing
in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) for tubal and male infertility: a machine learning approach using XGBoost
)[J].中华医学杂志（英文版）,2022(08):997-999
A类：
XGBoost
B类：
Predicting,cumulative,live,birth,rate,patients,undergoing,vitro,fertilization,IVF,intracytoplasmic,sperm,injection,ICSI,tubal,male,infertility,machine,learning,approach,using
AB值：
0.851843
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
