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Journal Abstract Search

696 related items for PubMed ID: 37351328

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  • 5. Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study.
    Liu C, Zhang K, Yang X, Meng B, Lou J, Liu Y, Cao J, Liu K, Mi W, Li H.
    JMIR Aging; 2024 Jul 26; 7():e54872. PubMed ID: 39087583
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  • 6. Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy.
    Liu Y, Song C, Tian Z, Shen W.
    Int J Gen Med; 2023 Jul 26; 16():1909-1925. PubMed ID: 37228741
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  • 7. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB, Grazal CF, Balazs GC, Potter BK, Dickens JF, Forsberg JA.
    Clin Orthop Relat Res; 2020 Jul 26; 478(7):0-1618. PubMed ID: 32282466
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  • 9. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
    Wang H, Wu W, Han C, Zheng J, Cai X, Chang S, Shi J, Xu N, Ai Z.
    JMIR Med Inform; 2021 Nov 19; 9(11):e30079. PubMed ID: 34806984
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  • 10. Prediction of Acute Kidney Injury after Extracorporeal Cardiac Surgery (CSA-AKI) by Machine Learning Algorithms.
    Tong Y, Niu X, Liu F.
    Heart Surg Forum; 2023 Oct 25; 26(5):E537-E551. PubMed ID: 37920093
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  • 14. Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
    Liu L, Bi B, Cao L, Gui M, Ju F.
    Front Endocrinol (Lausanne); 2024 Oct 25; 15():1320335. PubMed ID: 38481447
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  • 17. [Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators].
    Guo Z, Shao J, Zou X, Zhao Q, Qian P, Wang W, Huang L, Xue J, Xu J, Yang K, Zhou X, Li S.
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2024 Jun 07; 36(3):251-258. PubMed ID: 38952311
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  • 19. Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis.
    Zhu Y, Liu Y, Wang Q, Niu S, Wang L, Cheng C, Chen X, Liu J, Zhao S.
    J Cancer Res Clin Oncol; 2023 Dec 07; 149(19):17479-17493. PubMed ID: 37897658
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  • 20. Construction of a risk prediction model for lung infection after chemotherapy in lung cancer patients based on the machine learning algorithm.
    Sun T, Liu J, Yuan H, Li X, Yan H.
    Front Oncol; 2024 Dec 07; 14():1403392. PubMed ID: 39184040
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