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Cited by in CrossRef
For: Chongo G, Soldera J. Use of machine learning models for the prognostication of liver transplantation: A systematic review. World J Transplant 2024; 14(1): 88891 [PMID: 38576762 DOI: 10.5500/wjt.v14.i1.88891]
URL: https://www.wjgnet.com/1948-5182/full/v14/i1/88891.htm
Number Citing Articles
1
Vakaola I Pulotu Mafi, Jonathan Soldera. Palliative care for end-stage liver disease and acute on chronic liver failure: A systematic reviewWorld Journal of Methodology 2024; 14(4): 95904 doi: 10.5662/wjm.v14.i4.95904
2
Ahmet Ercan Topcu, Ersin Elbasi, Yehia Ibrahim Alzoubi. Machine Learning-Based Analysis and Prediction of Liver Cirrhosis2024 47th International Conference on Telecommunications and Signal Processing (TSP) 2024; : 191 doi: 10.1109/TSP63128.2024.10605929
3
Feras Al-Obeidat, Wael Hafez, Muneir Gador, Nesma Ahmed, Marwa Muhammed Abdeljawad, Antesh Yadav, Asrar Rashed. Diagnostic performance of AI-based models versus physicians among patients with hepatocellular carcinoma: a systematic review and meta-analysisFrontiers in Artificial Intelligence 2024; 7 doi: 10.3389/frai.2024.1398205