World Journal of Clinical Cases - Baishideng Publishing Group

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For:	Wang L, Long DY. Significant risk factors for intensive care unit-acquired weakness: A processing strategy based on repeated machine learning. World J Clin Cases 2024; 12(7): 1235-1242 [PMID: 38524515 DOI: 10.12998/wjcc.v12.i7.1235]
URL:	https://www.wjgnet.com/2307-8960/full/v12/i7/1235.htm

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Number	Citing Articles
1	Carlos Martin Ardila, Daniel González-Arroyave, Mateo Zuluaga-Gómez. Predicting intensive care unit-acquired weakness: A multilayer perceptron neural network approach. World Journal of Clinical Cases 2024; 12(12): 2023-2030 doi: 10.12998/wjcc.v12.i12.2023 Abstract(914) \| Core Tip(802) \| Full Article(HTML)(2132) \| Full Article (PDF)-484K(206) \| Full Article with Cover (PDF)-2020K(234) \| Full Article (XML)-69K(179) \| Audio-480K(30) \| Peer-Review Report-215K(163) \| Answering Reviewers-29K(143) \| Times Cited (2) \| Total Visits (3893) \| Open
2	Yuhang Yan, Zhile Li, Jiao Chen, Die Fu, Zhiqing Yang, Sining Peng, Jiayan Zhu, Xiaohua Ge, Jin Qiu. Development and Validation of an Interpretable Machine Learning Model for Predicting ICU‐Acquired Weakness in Postoperative Patients. Nursing in Critical Care 2026; 31(5) doi: 10.1111/nicc.70652
3	Ming Liu, Yu-Tong Chen, Guang-Liang Wang, Xue-Mei Wu. Risk factors for intensive-care-unit-acquired weakness. World Journal of Clinical Cases 2024; 12(21): 4853-4855 doi: 10.12998/wjcc.v12.i21.4853 Abstract(674) \| Core Tip(666) \| Full Article(HTML)(2053) \| Full Article (PDF)-324K(183) \| Full Article with Cover (PDF)-550K(135) \| Full Article (XML)-21K(114) \| Audio-338K(4) \| Peer-Review Report-180K(125) \| Answering Reviewers-176K(118) \| Times Cited (5) \| Total Visits (2485) \| Open
4	Gumpeny R Sridhar, Venkat Yarabati, Lakshmi Gumpeny. Predicting outcomes using neural networks in the intensive care unit. World Journal of Clinical Cases 2025; 13(11): 100966 doi: 10.12998/wjcc.v13.i11.100966 Abstract(640) \| Core Tip(598) \| Full Article(HTML)(2047) \| Full Article (PDF)-922K(193) \| Full Article with Cover (PDF)-1099K(200) \| Full Article (XML)-102K(134) \| Audio-515K(45) \| Peer-Review Report-434K(114) \| Answering Reviewers-231K(131) \| Times Cited (5) \| Total Visits (3496) \| Open
5	Alisha A da Silva, Mark Merolli, Natalie A Fini, Catherine L Granger, Owen D Gustafson, Selina M Parry. Digital health interventions in adult intensive care and recovery after critical illness to promote survivorship care. Journal of the Intensive Care Society 2025; 26(1) doi: 10.1177/17511437241311105
6	Georges Khattar, Elie Bou Sanayeh. Advancing critical care recovery: The pivotal role of machine learning in early detection of intensive care unit-acquired weakness. World Journal of Clinical Cases 2024; 12(21): 4455-4459 doi: 10.12998/wjcc.v12.i21.4455 Abstract(669) \| Core Tip(714) \| Full Article(HTML)(1611) \| Full Article (PDF)-377K(169) \| Full Article with Cover (PDF)-594K(141) \| Full Article (XML)-60K(126) \| Audio-1363K(6) \| Peer-Review Report-171K(115) \| Answering Reviewers-55K(107) \| Times Cited (2) \| Total Visits (2047) \| Open
7	Yang Dong, Tianyuan Li, Bei Fang, Dingde Long, Ying Tian, Huan Fu. IL-1β+ lung-resident macrophages mediate endothelial dysfunction and acute lung injury in sepsis through immune-metabolic crosstalk. Cell Death Discovery 2025; 12(1) doi: 10.1038/s41420-025-02868-0
8	Silvano Dragonieri. Pioneering role of machine learning in unveiling intensive care unit-acquired weakness. World Journal of Clinical Cases 2024; 12(13): 2157-2159 doi: 10.12998/wjcc.v12.i13.2157 Abstract(810) \| Core Tip(812) \| Full Article(HTML)(1616) \| Full Article (PDF)-314K(165) \| Full Article with Cover (PDF)-585K(142) \| Full Article (XML)-13K(140) \| Audio-306K(19) \| Peer-Review Report-214K(133) \| Answering Reviewers-215K(125) \| Times Cited (2) \| Total Visits (2063) \| Open
9	Chinmaya K Panda, Habib Md R Karim. Deep Machine Learning Might Aid in Combating Intensive Care Unit-Acquired Weakness. Cureus 2024; doi: 10.7759/cureus.58963
10	Thirugnanasambandan Sunder. Intensive care unit-acquired weakness – preventive, and therapeutic aspects; future directions and special focus on lung transplantation. World Journal of Clinical Cases 2024; 12(19): 3665-3670 doi: 10.12998/wjcc.v12.i19.3665 Abstract(678) \| Core Tip(740) \| Full Article(HTML)(1904) \| Full Article (PDF)-390K(163) \| Full Article with Cover (PDF)-698K(142) \| Full Article (XML)-70K(161) \| Audio-3522K(17) \| Peer-Review Report-214K(119) \| Answering Reviewers-39K(115) \| Times Cited (2) \| Total Visits (2370) \| Open
11	嘉跃张. Research Progress of ICU-Acquired Weakness. Advances in Clinical Medicine 2024; 14(12) doi: 10.12677/acm.2024.14123141
12	Jiajiao Liu, Zhaoxia Xu, Shuhong Luo, Yujie Bai, Jian Feng, Fuxiang Li. Risk factors for ICU-acquired weakness in sepsis patients: A retrospective study of 264 patients. Heliyon 2024; 10(11) doi: 10.1016/j.heliyon.2024.e32253
13	Muad Abdi Hassan, Abdulqadir J Nashwan. Machine learning insights on intensive care unit-acquired weakness. World Journal of Clinical Cases 2024; 12(18): 3285-3287 doi: 10.12998/wjcc.v12.i18.3285 Abstract(814) \| Core Tip(716) \| Full Article(HTML)(2567) \| Full Article (PDF)-332K(221) \| Full Article with Cover (PDF)-1822K(221) \| Full Article (XML)-21K(112) \| Audio-634K(25) \| Peer-Review Report-221K(131) \| Answering Reviewers-59K(134) \| Times Cited (1) \| Total Visits (3121) \| Open
14	Xiao-Yu He, Yi-Huan Zhao, Qian-Wen Wan, Fu-Shan Tang. Intensive care unit-acquired weakness: Unveiling significant risk factors and preemptive strategies through machine learning. World Journal of Clinical Cases 2024; 12(35): 6760-6763 doi: 10.12998/wjcc.v12.i35.6760 Abstract(644) \| Core Tip(621) \| Full Article(HTML)(1358) \| Full Article (PDF)-351K(167) \| Full Article with Cover (PDF)-604K(127) \| Full Article (XML)-39K(108) \| Audio-250K(5) \| Peer-Review Report-193K(112) \| Answering Reviewers-11K(112) \| Times Cited (0) \| Total Visits (1760) \| Open
15	Ranjeet Kumar Sinha, Sony Sinha, Prateek Nishant, Arvind Kumar Morya. Intensive care unit-acquired weakness and mechanical ventilation: A reciprocal relationship. World Journal of Clinical Cases 2024; 12(18): 3644-3647 doi: 10.12998/wjcc.v12.i18.3644 Abstract(763) \| Core Tip(682) \| Full Article(HTML)(2267) \| Full Article (PDF)-348K(230) \| Full Article with Cover (PDF)-1836K(176) \| Full Article (XML)-35K(155) \| Audio-280K(21) \| Peer-Review Report-221K(137) \| Answering Reviewers-55K(154) \| Times Cited (6) \| Total Visits (2828) \| Open
16	Md Rittique Alam, Abdullah Al Abid. Graph Neural Networks for Neurological Disorders. 2025; doi: 10.1007/978-3-032-04315-3_2
17	Lu Li, Jing Liu, HuanQi Ji, Chao Wu, Yang Li, Qian Yang, HongJuan Lang. Risk Factors and Prediction Model for ICU-Acquired Weakness in Severe Acute Pancreatitis: A Retrospective Cohort Study. Journal of Inflammation Research 2026; doi: 10.2147/JIR.S534421
18	Yuki Arita, Daisuke Kawakami, Hidenobu Koga, Shumpei Yoshino. What Is the Optimal Reintubation Rate?. CHEST Critical Care 2025; 3(4) doi: 10.1016/j.chstcc.2025.100210
19	Martina Petrucci, Stefania Gemma, Luigi Carbone, Andrea Piccioni, Davide Antonio Della Polla, Benedetta Simeoni, Francesco Franceschi, Marcello Covino. ICU-Acquired Weakness: From Pathophysiology to Management in Critical Care. Emergency Care and Medicine 2025; 2(1) doi: 10.3390/ecm2010004
20	厚银马. Research Progress on Prediction Models for ICU-Acquired Weakness. Nursing Science 2026; 15(04) doi: 10.12677/ns.2026.154105
21	Chun-Yao Cheng, Wen-Rui Hao, Tzu-Hurng Cheng. Unveiling significant risk factors for intensive care unit-acquired weakness: Advancing preventive care. World Journal of Clinical Cases 2024; 12(18): 3288-3290 doi: 10.12998/wjcc.v12.i18.3288 Abstract(775) \| Core Tip(792) \| Full Article(HTML)(2283) \| Full Article (PDF)-317K(164) \| Full Article with Cover (PDF)-1814K(145) \| Full Article (XML)-15K(141) \| Audio-373K(24) \| Peer-Review Report-214K(140) \| Answering Reviewers-79K(151) \| Times Cited (1) \| Total Visits (2733) \| Open
22	Melda Kangalgil, Hülya Ulusoy, Sekine Ayaz. Acute Skeletal Muscle Wasting is Associated with Prolonged Hospital Stay in Critical Illness with Brain Injury. Neurocritical Care 2024; 41(3) doi: 10.1007/s12028-024-02017-y