Liver regeneration-associated machine learning architecture integrating time-phased predictions for post-hepatectomy liver failure

This research was funded by the projects from National Natural Science Foundation of China (82403243), Program for National Postdoctoral Researchers Funding of China (GZC20231943), and Shanghai Municipal Commission of Science and Technology (23Y11905900).

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Publication Details

Journal
EClinicalMedicine
Published
2025-11-28
DOI
https://doi.org/10.1016/j.eclinm.2025.103661
Citations
1
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
1.32
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Liver regeneration-associated machine learning architecture integrating time-phased predictions for post-hepatectomy liver failure

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1 citations
EClinicalMedicine
Hepatocellular Carcinoma Treatment and Prognosis
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article

Liver regeneration-associated machine learning architecture integrating time-phased predictions for post-hepatectomy liver failure

Yuheng Hu, Anfeng Si, Tao Jiang, Zhixu Yang, Chenxiang He, Shengyu Huang, Jin Liu, Honggang Zhang, Li Jun, Shichao Zhang, Yao Chen, Zhihao Xie, Feng Shen, Xiaofeng Zhang, Tao Yuan, Hao Shen, Xiaolong Qi, Yu-Ting Shen, Jin Lv, Yizhe Dai, Wenxin Wei
article en
1 citations

Abstract

This research was funded by the projects from National Natural Science Foundation of China (82403243), Program for National Postdoctoral Researchers Funding of China (GZC20231943), and Shanghai Municipal Commission of Science and Technology (23Y11905900).

EClinicalMedicineVol. 90
Shanghai University (CN), Tongji University (CN), Second Military Medical University (CN), Wenzhou Medical University (CN), Nanjing General Hospital of Nanjing Military Command (CN), Nanjing University of Posts and Telecommunications (CN), Zhongda Hospital Southeast University (CN), Shanghai Tenth People's Hospital (CN), Eastern Hepatobiliary Surgery Hospital (CN), Nanjing University (CN)
Openalex Percentile: Top 14%
Hepatocellular Carcinoma Treatment and Prognosis
1.32
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