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Oct 18, 2023 (publication date) through May 2, 2026
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World Journal of Orthopedics
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2218-5836
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| Tian CW, Chen XX, Shi L, Zhu HY, Dai GC, Chen H, Rui YF. Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients. World J Orthop 2023; 14(10): 741-754 [PMID: 37970626 DOI: 10.5312/wjo.v14.i10.741] |
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| For: | Tian CW, Chen XX, Shi L, Zhu HY, Dai GC, Chen H, Rui YF. Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients. World J Orthop 2023; 14(10): 741-754 [PMID: 37970626 DOI: 10.5312/wjo.v14.i10.741] |
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| URL: | https://www.wjgnet.com/2218-5836/full/v14/i10/741.htm |
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Ish Khadangale, Sushila Palwe. Innovative machine learning techniques for estimating patient length of stay and mortality risk. INTERNATIONAL CONFERENCE ON FUTURISTIC ADVANCES IN MECHATRONICS ENGINEERING FOR AEROSPACE AND DEFENCE: ICFAMEAD2024 2026; 3369: 060009 doi: 10.1063/5.0317709
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Hao Liu, Fei Xing, Jiabao Jiang, Zhao Chen, Zhou Xiang, Xin Duan. Random forest predictive modeling of prolonged hospital length of stay in elderly hip fracture patients. Frontiers in Medicine 2024; 11 doi: 10.3389/fmed.2024.1362153
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Yanli Hu, Hong Qu, Feifan Wang, Fangfang Deng, Qun Luo, Tingting Gong. Length of postoperative stay prediction in elderly patients with hip fractures based on machine learning. Frontiers in Medicine 2026; 12 doi: 10.3389/fmed.2025.1728645
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Andrea Campagner, Frida Milella, Giuseppe Banfi, Federico Cabitza. Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures. BMC Medical Informatics and Decision Making 2024; 24(S4) doi: 10.1186/s12911-024-02602-3
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Miaotian Tang, Meng Zhang, Yu Dang, Mingxing Lei, Dianying Zhang. Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture. Clinical Interventions in Aging 2025; : 217 doi: 10.2147/CIA.S507138
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