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1118 related items for PubMed ID: 34106618

  • 1. Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.
    Li K, Shi Q, Liu S, Xie Y, Liu J.
    Medicine (Baltimore); 2021 May 14; 100(19):e25813. PubMed ID: 34106618
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  • 2. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
    Zhu M, Hu C, He Y, Qian Y, Tang S, Hu Q, Hao C.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul 14; 35(7):696-701. PubMed ID: 37545445
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  • 3. [Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].
    Xie Z, Jin J, Liu D, Lu S, Yu H, Han D, Sun W, Huang M.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr 14; 36(4):345-352. PubMed ID: 38813626
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  • 5. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
    Ye Z, An S, Gao Y, Xie E, Zhao X, Guo Z, Li Y, Shen N, Ren J, Zheng J.
    Eur J Med Res; 2023 Jan 18; 28(1):33. PubMed ID: 36653875
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  • 8. Machine learning for the prediction of acute kidney injury in patients with sepsis.
    Yue S, Li S, Huang X, Liu J, Hou X, Zhao Y, Niu D, Wang Y, Tan W, Wu J.
    J Transl Med; 2022 May 13; 20(1):215. PubMed ID: 35562803
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  • 14. Machine learning constructs a diagnostic prediction model for calculous pyonephrosis.
    Yang B, Zhong J, Yang Y, Xu J, Liu H, Liu J.
    Urolithiasis; 2024 Jun 19; 52(1):96. PubMed ID: 38896174
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  • 15. Comparative assessment of the capability of machine learning-based radiomic models for predicting omental metastasis in locally advanced gastric cancer.
    Wu A, Luo L, Zeng Q, Wu C, Shu X, Huang P, Wang Z, Hu T, Feng Z, Tu Y, Zhu Y, Cao Y, Li Z.
    Sci Rep; 2024 Jul 13; 14(1):16208. PubMed ID: 39003337
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  • 16. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
    Lin Y, Wu JY, Lin K, Hu YH, Kong GL.
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun 18; 53(3):566-572. PubMed ID: 34145862
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  • 17. Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis.
    Liu F, Yao J, Liu C, Shou S.
    BMC Surg; 2023 Sep 01; 23(1):267. PubMed ID: 37658375
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  • 19. Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning Study.
    Hur S, Min JY, Yoo J, Kim K, Chung CR, Dykes PC, Cha WC.
    J Med Internet Res; 2021 Aug 11; 23(8):e23508. PubMed ID: 34382940
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