For: | Bredt LC, Peres LAB, Risso M, Barros LCAL. Risk factors and prediction of acute kidney injury after liver transplantation: Logistic regression and artificial neural network approaches . World J Hepatol 2022; 14(3): 570-582 [PMID: 35582300 DOI: 10.4254/wjh.v14.i3.570] |
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URL: | https://www.wjgnet.com/1948-5182/full/v14/i3/570.htm |
Number | Citing Articles |
1 |
Gidion Chongo, Jonathan Soldera. Use of machine learning models for the prognostication of liver transplantation: A systematic review. World Journal of Transplantation 2024; 14(1): 88891 doi: 10.5500/wjt.v14.i1.88891
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Allan R.M. França, Eduardo Rocha, Leonardo S.L. Bastos, Fernando A. Bozza, Pedro Kurtz, Elizabeth Maccariello, José Roberto Lapa e Silva, Jorge I.F. Salluh. Development and validation of a machine learning model to predict the use of renal replacement therapy in 14,374 patients with COVID-19. Journal of Critical Care 2024; 80: 154480 doi: 10.1016/j.jcrc.2023.154480
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3 |
Jingying Huang, Jiaojiao Chen, Jin Yang, Mengbo Han, Zihao Xue, Yina Wang, Miaomiao Xu, Haiou Qi, Yuting Wang. Prediction models for acute kidney injury following liver transplantation: A systematic review and critical appraisal. Intensive and Critical Care Nursing 2025; 86: 103808 doi: 10.1016/j.iccn.2024.103808
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4 |
Taiyo Kuroda, Barry D. Kuban, Takuma Miyamoto, Chihiro Miyagi, Anthony R. Polakowski, Christine R. Flick, Jamshid H. Karimov, Kiyotaka Fukamachi. Artificial Deep Neural Network for Sensorless Pump Flow and Hemodynamics Estimation During Continuous-Flow Mechanical Circulatory Support. ASAIO Journal 2023; 69(7): 649 doi: 10.1097/MAT.0000000000001926
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5 |
Yordan Penev, Matthew M. Ruppert, Ahmet Bilgili, Youlei Li, Raiya Habib, Abdul-Vehab Dozic, Coulter Small, Esra Adiyeke, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Chris Giordano, Azra Bihorac. Intraoperative hypotension and postoperative acute kidney injury: A systematic review. The American Journal of Surgery 2024; 232: 45 doi: 10.1016/j.amjsurg.2024.02.001
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6 |
Xiang Yu, Yuwei Ji, Mengjie Huang, Zhe Feng. Machine learning for acute kidney injury: Changing the traditional disease prediction mode. Frontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1050255
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7 |
Raja Al-Bahou, Julia Bruner, Helen Moore, Ali Zarrinpar. Quantitative methods for optimizing patient outcomes in liver transplantation. Liver Transplantation 2023; doi: 10.1097/LVT.0000000000000325
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8 |
Feifei Lu, Yao Meng, Xiaoting Song, Xiaotong Li, Zhuang Liu, Chunru Gu, Xiaojie Zheng, Yi Jing, Wei Cai, Kanokwan Pinyopornpanish, Andrea Mancuso, Fernando Gomes Romeiro, Nahum Méndez-Sánchez, Xingshun Qi. Artificial Intelligence in Liver Diseases: Recent Advances. Advances in Therapy 2024; 41(3): 967 doi: 10.1007/s12325-024-02781-5
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