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Cited by in CrossRef
For: Zhou JY, Song LW, Yuan R, Lu XP, Wang GQ. Prediction of hepatic inflammation in chronic hepatitis B patients with a random forest-backward feature elimination algorithm. World J Gastroenterol 2021; 27(21): 2910-2920 [PMID: 34135561 DOI: 10.3748/wjg.v27.i21.2910]
URL: https://www.wjgnet.com/1948-5182/full/v27/i21/2910.htm
Number Citing Articles
1
Chi Zhang, Yiqi Liu, Jiawen Li, Hui Liu, Chen Shao, Dan Liu, Min Yu, Hongli Xi, Hong Zhao, Guiqiang Wang. Dose–response relationship between qAnti‐HBc and liver inflammation in chronic hepatitis B with normal or mildly elevated alanine transaminase based on liver biopsyJournal of Medical Virology 2022; 94(8): 3911 doi: 10.1002/jmv.27779
2
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, Davoud Torkamaneh. Machine learning: its challenges and opportunities in plant system biologyApplied Microbiology and Biotechnology 2022; 106(9-10): 3507 doi: 10.1007/s00253-022-11963-6
3
Fei Chen, Yaning Yao, Zhen Li, Long Deng, Ruiling He. Assessment of compensated advanced chronic liver disease based on serum bile acids in chronic hepatitis B patientsScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-39977-8
4
Xiaohui Zhao, Haijing Sui, Chengong Yan, Min Zhang, Haihan Song, Xueyuan Liu, Juan Yang. Machine-Based Learning Shifting to Prediction Model of Deteriorative MCI Due to Alzheimer’s Disease - A Two-Year Follow-Up InvestigationCurrent Alzheimer Research 2022; 19(10): 708 doi: 10.2174/1567205020666221019122049
5
Ivana Lazarevic, Ana Banko, Danijela Miljanovic, Maja Cupic. Clinical Utility of Quantitative HBV Core Antibodies for Solving Diagnostic DilemmasViruses 2023; 15(2): 373 doi: 10.3390/v15020373
6
Khadijeh Moulaei, Hamid Sharifi, Kambiz Bahaadinbeigy, Ali Akbar Haghdoost, Naser Nasiri. Machine learning for prediction of viral hepatitis: A systematic review and meta-analysisInternational Journal of Medical Informatics 2023; 179: 105243 doi: 10.1016/j.ijmedinf.2023.105243
7
Xiaomo Wang, Yu Chen, Manman Xu, Kailiang Cheng, Xiaoman Duan, Wei Liao, Yanhong Wang, Ying Lu, Zhongping Duan, Li Wang. Virologic response maintenance and hepatocellular carcinoma in chronic hepatitis B patients treated with entecavirExpert Review of Gastroenterology & Hepatology 2021; 15(11): 1337 doi: 10.1080/17474124.2021.1980385
8
Fajuan Rui, Yee Hui Yeo, Liang Xu, Qi Zheng, Xiaoming Xu, Wenjing Ni, Youwen Tan, Qing-Lei Zeng, Zebao He, Xiaorong Tian, Qi Xue, Yuanwang Qiu, Chuanwu Zhu, Weimao Ding, Jian Wang, Rui Huang, Yayun Xu, Yunliang Chen, Junqing Fan, Zhiwen Fan, Xiaolong Qi, Daniel Q. Huang, Qing Xie, Junping Shi, Chao Wu, Jie Li. Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort studyeClinicalMedicine 2024; 68: 102419 doi: 10.1016/j.eclinm.2023.102419
9
Ning Yao, Yang Liu, Jiawei Xu, Qing Wang, Quanhua Zhou, Yue Wang, Dong Yi, Yazhou Wu. Identification of associated risk factors for serological distribution of hepatitis B virus via machine learning modelsBMC Infectious Diseases 2024; 24(1) doi: 10.1186/s12879-023-08911-8
10
Suja A. Alex, J. Jesu Vedha Nayahi, Sanaa Kaddoura. Deep convolutional neural networks with genetic algorithm-based synthetic minority over-sampling technique for improved imbalanced data classificationApplied Soft Computing 2024; 156: 111491 doi: 10.1016/j.asoc.2024.111491