Point-based risk score for the risk stratification and prediction of hepatocellular carcinoma: a population-based random survival forest modeling study

This work was supported by the National Natural Science Foundation of China (grant numbers: 82204125) and the Science and Technology Support Program of Taizhou (TS202224).

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Publication Details

Journal
EClinicalMedicine
Published
2024-08-23
DOI
https://doi.org/10.1016/j.eclinm.2024.102796
Citations
17
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
6.57

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article

Point-based risk score for the risk stratification and prediction of hepatocellular carcinoma: a population-based random survival forest modeling study

Chen Suo, Zhenqiu Liu, Xingdong Chen, Huangbo Yuan et al.
17 citations
EClinicalMedicine
Liver Disease Diagnosis and Treatment
6.57
article

Point-based risk score for the risk stratification and prediction of hepatocellular carcinoma: a population-based random survival forest modeling study

Chen Suo, Zhenqiu Liu, Xingdong Chen, Huangbo Yuan, Renjia Zhao, Jin Li, Xuehong Zhang, Tiejun Zhang
article en
17 citations

Abstract

This work was supported by the National Natural Science Foundation of China (grant numbers: 82204125) and the Science and Technology Support Program of Taizhou (TS202224).

EClinicalMedicineVol. 75
Brigham and Women's Hospital (US), Harvard University (US), Fudan University (CN), Yale University (US), Huashan Hospital (CN), State Key Laboratory of Genetic Engineering, Taizhou University (CN)
National Natural Science Foundation of China, Science and Technology Plan Project of Taizhou
Life in Land
Openalex Percentile: Top 3%
Liver Disease Diagnosis and Treatment
6.57
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