BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

479 related articles for article (PubMed ID: 38313005)

  • 1. Establishment and validation of a heart failure risk prediction model for elderly patients after coronary rotational atherectomy based on machine learning.
    Zhang L; Zhou X; Cao J
    PeerJ; 2024; 12():e16867. PubMed ID: 38313005
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [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; 36(4):345-352. PubMed ID: 38813626
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 35(11):2643-2656. PubMed ID: 37733228
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 15():1320335. PubMed ID: 38481447
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis].
    Gao X; Lin J; Wu A; Gu H; Liu X; Yin M; Zhou Z; Zhang R; Xu C; Zhu J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Apr; 35(4):421-426. PubMed ID: 37308200
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.
    Wang Q; Li B; Chen K; Yu F; Su H; Hu K; Liu Z; Wu G; Yan J; Su G
    ESC Heart Fail; 2021 Dec; 8(6):5363-5371. PubMed ID: 34585531
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [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; 35(7):696-701. PubMed ID: 37545445
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study.
    Li J; Liu S; Hu Y; Zhu L; Mao Y; Liu J
    J Med Internet Res; 2022 Aug; 24(8):e38082. PubMed ID: 35943767
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Comparison of machine learning and Logistic regression model in predicting acute kidney injury after cardiac surgery: data analysis based on MIMIC-III database].
    Xiong W; Zhang L; She K; Xu G; Bai S; Liu X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Nov; 34(11):1188-1193. PubMed ID: 36567564
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage.
    Geng Z; Yang C; Zhao Z; Yan Y; Guo T; Liu C; Wu A; Wu X; Wei L; Tian Y; Hu P; Wang K
    J Transl Med; 2024 Mar; 22(1):236. PubMed ID: 38439097
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 149(19):17479-17493. PubMed ID: 37897658
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning.
    Liu Z; Meng Z; Wei D; Qin Y; Lv Y; Xie L; Qiu H; Xie B; Li L; Wei X; Zhang D; Liang B; Li W; Qin S; Yan T; Meng Q; Wei H; Jiang G; Su L; Jiang N; Zhang K; Lv J; Hu Y
    BMC Med Inform Decis Mak; 2024 Apr; 24(1):110. PubMed ID: 38664736
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.
    Liu Y; Shen W; Tian Z
    Clin Interv Aging; 2023; 18():157-168. PubMed ID: 36789284
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 16():1909-1925. PubMed ID: 37228741
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models.
    Huang J; Jin W; Duan X; Liu X; Shu T; Fu L; Deng J; Chen H; Liu G; Jiang Y; Liu Z
    Front Public Health; 2022; 10():1086339. PubMed ID: 36711330
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study.
    Wang J; Wang S; Zhu MX; Yang T; Yin Q; Hou Y
    JMIR Med Inform; 2022 Apr; 10(4):e33395. PubMed ID: 35442202
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 9(11):e30079. PubMed ID: 34806984
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A systematic comparison of machine learning algorithms to develop and validate prediction model to predict heart failure risk in middle-aged and elderly patients with periodontitis (NHANES 2009 to 2014).
    Wang Y; Xiao Y; Zhang Y
    Medicine (Baltimore); 2023 Aug; 102(34):e34878. PubMed ID: 37653785
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning.
    Tian Y; Li R; Wang G; Xu K; Li H; He L
    BMC Med Inform Decis Mak; 2024 Jan; 24(1):11. PubMed ID: 38184556
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.