机译:不同机器学习方法的比较预测胎龄婴幼儿
Beijing Univ Technol Sch Software Engn Beijing Engn Res Ctr IoT Software & Syst Beijing 100124 Peoples R China|Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China;
Beijing Univ Technol Sch Software Engn Beijing 100124 Peoples R China;
Beijing Univ Technol Sch Software Engn Beijing 100124 Peoples R China;
Beijing Univ Technol Sch Software Engn Beijing 100124 Peoples R China;
Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China;
Chinese Acad Med Sci & Peking Union Med Coll Peking Union Med Coll Hosp Dept Endocrinol Beijing 100730 Peoples R China;
Chinese Acad Med Sci & Peking Union Med Coll Peking Union Med Coll Hosp Dept Endocrinol Beijing 100730 Peoples R China;
Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China;
Chinese Acad Med Sci & Peking Union Med Coll Peking Union Med Coll Hosp Dept Endocrinol Beijing 100730 Peoples R China;
Support vector machines; Pediatrics; Predictive models; Training; Radio frequency; Vegetation; Big data; Feature selection; machine learning; prediction model; small for gestational age;
机译:系统机器学习和数据类型比较产生婴儿年龄,性别,母乳喂养,抗生素使用,原产国和交付类型的均衡预测因子
机译:使用常规临床数据预测妊娠期糖尿病的机器学习方法和常规逻辑回归的比较:回顾性队列研究
机译:使用常规临床数据预测妊娠期糖尿病的机器学习方法和常规逻辑回归的比较:回顾性队列研究
机译:一种数据驱动的方法来预测胎龄婴儿的小胎儿
机译:机器学习方法可预测未知的基因功能。
机译:系统的机器学习和数据类型比较可得出婴儿年龄性别母乳喂养抗生素使用原产国和分娩类型的宏基因组预测指标
机译:机器学习方法以确定预测婴幼儿尸检结果的特征重要性