For: | Yang F, Windsor JA, Fu DL. Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives. World J Gastroenterol 2024; 30(10): 1329-1345 [PMID: 38596504 DOI: 10.3748/wjg.v30.i10.1329] |
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URL: | https://www.wjgnet.com/1948-9366/full/v30/i10/1329.htm |
Number | Citing Articles |
1 |
Xuanna Zhao, Yunan Wang, Jiahua Li, Weiliang Liu, Yuting Yang, Youping Qiao, Jinyu Liao, Min Chen, Dongming Li, Bin Wu, Dan Huang, Dong Wu. A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS. Journal of Affective Disorders 2025; 377: 284 doi: 10.1016/j.jad.2025.02.063
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2 |
Mikhail B Potievskiy, Leonid O Petrov, Sergei A Ivanov, Pavel V Sokolov, Vladimir S Trifanov, Nikolai A Grishin, Ruslan I Moshurov, Peter V Shegai, Andrei D Kaprin. Machine learning for modeling and identifying risk factors of pancreatic fistula. World Journal of Gastrointestinal Oncology 2025; 17(4): 100089 doi: 10.4251/wjgo.v17.i4.100089
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3 |
Chenxi Wang, Huichuan Tian, Jin Shang. Exploration and perspectives on postoperative hyperlipasemia as a predictor of pancreatic fistula. Surgery 2024; : 109025 doi: 10.1016/j.surg.2024.109025
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