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收藏Machine learning-derived multivariate renal function trajectories in acute kidney injury in critically ill patients: a multicentre retrospective study基于机器学习的多变量肾损伤功能轨迹在危重患者急性肾损伤中的研究:一项多中心回顾性研究
Lin, Jiaxi; Liu, Lihe; Zhu, Shiqi; Gao, Jingwen; Liu, Lu; Hong, Hao; Wei, Yao; Yang, Jing; Liu, Xiaolin; Li, Rui; Zhu, Jinzhou
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收藏The development and validation of automated machine learning models for predicting lymph node metastasis in Siewert type II T1 adenocarcinoma of the esophagogastric junction
Lu, Chenghao; Liu, Lu; Yin, Minyue; Lin, Jiaxi; Zhu, Shiqi; Gao, Jingwen; Qu, Shuting; Xu, Guoting; Liu, Lihe; Zhu, Jinzhou; Xu, Chunfang
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收藏Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning基于影像组学和深度学习的重症急性胰腺炎多模态预测模型的建立与验证
Yin, Minyue; Lin, Jiaxi; Wang, Yu; Liu, Yuanjun; Zhang, Rufa; Duan, Wenbin; Zhou, Zhirun; Zhu, Shiqi; Gao, Jingwen; Liu, Lu; Liu, Xiaolin; Gu, Chenqi; Huang, Zhou; Xu, Xiaodan; Xu, Chunfang; Zhu, Jinzhou
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收藏Development of a scoring system for predicting primary resistance to venetoclax plus hypomethylating agents (HMAs) in acute myeloid leukemia patients
Zong, Lihong; Yin, Minyue; Kong, Jinyu; Zhang, Jian; Song, Baoquan; Zhu, Jinzhou; Xue, Shengli; Wu, Xiaojin; Wu, Depei; Bao, Xiebing; Qiu, Huiying
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