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结合临床与超声影像多模态数据构建小于胎龄儿预测模型

open access: yesZhongshan Daxue xuebao. Yixue kexue ban
目的探索结合妊娠早期和妊娠中期的临床数据与超声影像多模态数据对小于胎龄儿(SGA)的预测价值,构建和内部验证基于多种机器学习算法的SGA 预测模型。方法本研究回顾性纳入单胎妊娠孕妇1 307例,根据INTERGROWTH-21st胎儿生长标准诊断SGA并采集包括临床一般资料、生化检验数据及产前超声筛查数据的多模态数据。轻度梯度增强算法(XGBoost)用于计算变量重要性,七种机器学习算法用于预测模型的构建与内部验证,受试者工作特性曲线下面积(AUC)作为衡量预测效能的主要指标,结合10 ...
陈心雨, 朱云晓
doaj  

[Research on modelling vestibular rehabilitation decision based on machine learning]. [PDF]

open access: yesLin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2020
Liu D   +7 more
europepmc   +1 more source

[Predicting cerebral glioma enhancement pattern using a machine learning-based magnetic resonance imaging radiomics model]. [PDF]

open access: yesNan Fang Yi Ke Da Xue Xue Bao
He H   +7 more
europepmc   +1 more source

[A review of machine learning in tumor radiotherapy]. [PDF]

open access: yesSheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2019
Zhang J, Zhang Y, Yin Y, Zhu J, Li B.
europepmc   +1 more source

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