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Mar 18, 2024 (publication date) through Nov 30, 2024
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Publication Name
World Journal of Transplantation
ISSN
2220-3230
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| 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] |
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| URL: | https://www.wjgnet.com/1949-8470/full/v14/i1/88891.htm |
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Ahmet Ercan Topcu, Ersin Elbasi, Yehia Ibrahim Alzoubi. Machine Learning-Based Analysis and Prediction of Liver Cirrhosis. 2024 47th International Conference on Telecommunications and Signal Processing (TSP) 2024; : 191 doi: 10.1109/TSP63128.2024.10605929
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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-analysis. Frontiers in Artificial Intelligence 2024; 7 doi: 10.3389/frai.2024.1398205
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Jonathan Soldera, Leandro Luis Corso, Matheus Machado Rech, Vinícius Remus Ballotin, Lucas Goldmann Bigarella, Fernanda Tomé, Nathalia Moraes, Rafael Sartori Balbinot, Santiago Rodriguez, Ajacio Bandeira de Mello Brandão, Bruno Hochhegger. Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model: A cohort study. World Journal of Hepatology 2024; 16(2): 193-210 doi: 10.4254/wjh.v16.i2.193
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