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Journal Abstract Search

295 related items for PubMed ID: 37685276

  • 1. Machine Learning Models for Prediction of Severe Pneumocystis carinii Pneumonia after Kidney Transplantation: A Single-Center Retrospective Study.
    Liu Y, Qiu T, Hu H, Kong C, Zhang Y, Wang T, Zhou J, Zou J.
    Diagnostics (Basel); 2023 Aug 23; 13(17):. PubMed ID: 37685276
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  • 2. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
    Chen X, Pan J, Li Y, Tang R.
    Aging Clin Exp Res; 2023 Nov 23; 35(11):2643-2656. PubMed ID: 37733228
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  • 3. A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy.
    Dai T, Bao M, Zhang M, Wang Z, Tang J, Liu Z.
    BMC Med Inform Decis Mak; 2024 Aug 08; 24(1):224. PubMed ID: 39118122
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  • 5. The Development and Evaluation of a Prediction Model for Kidney Transplant-Based Pneumocystis carinii Pneumonia Patients Based on Hematological Indicators.
    Zhang L, Liu Y, Zou J, Wang T, Hu H, Zhou Y, Lu Y, Qiu T, Zhou J, Liu X.
    Biomedicines; 2024 Feb 04; 12(2):. PubMed ID: 38397968
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  • 7. Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients.
    Chowdhury NH, Reaz MBI, Haque F, Ahmad S, Ali SHM, A Bakar AA, Bhuiyan MAS.
    Diagnostics (Basel); 2021 Dec 03; 11(12):. PubMed ID: 34943504
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  • 9. A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
    Lin C, Liang Z, Liu J, Sun W.
    Front Surg; 2023 Dec 03; 10():1160085. PubMed ID: 37351328
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  • 10. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J, Chen H, Wang H, Liu W, Peng D, Zhao Q, Xiao M.
    J Med Internet Res; 2023 Apr 06; 25():e43815. PubMed ID: 37023416
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  • 11. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation.
    Huang J, Chen H, Deng J, Liu X, Shu T, Yin C, Duan M, Fu L, Wang K, Zeng S.
    Front Neurol; 2023 Apr 06; 14():1185447. PubMed ID: 37614971
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  • 12. Machine learning models for prediction of invasion Klebsiella pneumoniae liver abscess syndrome in diabetes mellitus: a singled centered retrospective study.
    Feng C, Di J, Jiang S, Li X, Hua F.
    BMC Infect Dis; 2023 May 04; 23(1):284. PubMed ID: 37142976
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  • 13. Interpretable machine learning model for predicting the prognosis of antibody positive autoimmune encephalitis patients.
    Guo J, Dong R, Zhang R, Yang F, Wang Y, Miao W.
    J Affect Disord; 2025 Jan 15; 369():352-363. PubMed ID: 39374738
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  • 14. Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study.
    Li F, Chen A, Li Z, Gu L, Pan Q, Wang P, Fan Y, Feng J.
    Front Neurol; 2023 Jan 15; 14():1139096. PubMed ID: 37077571
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  • 18. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
    Tseng PY, Chen YT, Wang CH, Chiu KM, Peng YS, Hsu SP, Chen KL, Yang CY, Lee OK.
    Crit Care; 2020 Jul 31; 24(1):478. PubMed ID: 32736589
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