| For: | Lu C, Xing ZX, Xia XG, Long ZD, Chen B, Zhou P, Wang R. Development and validation of a postoperative pulmonary infection prediction model for patients with primary hepatic carcinoma. World J Gastrointest Oncol 2023; 15(7): 1241-1252 [PMID: 37546550 DOI: 10.4251/wjgo.v15.i7.1241] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v15/i7/1241.htm |
| Number | Citing Articles |
| 1 |
Jiajia Ma, Zhengmin Zhang, Bei Xue, Jing Feng, Liping Yao, Hui Chen, Xiaoxin Liu. Machine learning prediction of postoperative pulmonary infection in patients who underwent thoracoscopic lung cancer resection: a retrospective case–control study. BMC Medical Informatics and Decision Making 2026; 26(1) doi: 10.1186/s12911-026-03698-5
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| 2 |
Ji-Yeon Lee, Yong-Ho In, Jong-Ho Kim, Sung-Mi Hwang, Jae-Jun Lee, Young-Suk Kwon. Bridging the Artificial Intelligence Translation Gap in Perioperative Pulmonary and Respiratory Complications: A Practical Framework for Institution-Level Implementation. Diagnostics 2026; 16(19) doi: 10.3390/diagnostics16193082
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| 3 |
Bin Wang, Jie Zhao, Fengxue Zhu. Lasso-Enhanced Logistic Regression for Early Prediction of Pulmonary Infection in Critically Ill Post-Abdominal Surgery Patients. Medicina 2026; 62(4) doi: 10.3390/medicina62040788
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