BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

290 related articles for article (PubMed ID: 37897658)

  • 1. 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]  

  • 2. 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]  

  • 3. Identification of High-Risk Patients for Postoperative Myocardial Injury After CME Using Machine Learning: A 10-Year Multicenter Retrospective Study.
    Liu Y; Song C; Tian Z; Shen W
    Int J Gen Med; 2023; 16():1251-1264. PubMed ID: 37057054
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Applying interpretable machine learning algorithms to predict risk factors for permanent stoma in patients after TME.
    Liu Y; Zhao S; Du W; Tian Z; Chi H; Chao C; Shen W
    Front Surg; 2023; 10():1125875. PubMed ID: 37035560
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of high-risk factors for recurrence of colon cancer following complete mesocolic excision: An 8-year retrospective study.
    Liu Y; Du W; Guo Y; Tian Z; Shen W
    PLoS One; 2023; 18(8):e0289621. PubMed ID: 37566586
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma.
    Dong B; Zhang H; Duan Y; Yao S; Chen Y; Zhang C
    J Transl Med; 2024 May; 22(1):455. PubMed ID: 38741163
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [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]  

  • 12. Application of machine learning algorithms to identify people with low bone density.
    Xu R; Chen Y; Yao Z; Wu W; Cui J; Wang R; Diao Y; Jin C; Hong Z; Li X
    Front Public Health; 2024; 12():1347219. PubMed ID: 38726233
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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; 28(1):33. PubMed ID: 36653875
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction model of atrial fibrillation recurrence after Cox-Maze IV procedure in patients with chronic valvular disease and atrial fibrillation based on machine learning algorithm.
    Jiang Z; Song L; Liang C; Zhang H; Liu L
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2023 Jul; 48(7):995-1007. PubMed ID: 37724402
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus.
    Wu X; Zhai F; Chang A; Wei J; Guo Y; Zhang J
    J Endocrinol Invest; 2023 Dec; 46(12):2535-2546. PubMed ID: 37171784
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning model-based risk prediction of severe complications after off-pump coronary artery bypass grafting.
    Zhang Y; Li L; Li Y; Zeng Z
    Adv Clin Exp Med; 2023 Feb; 32(2):185-194. PubMed ID: 36226692
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.
    Zhang G; Shi Y; Yin P; Liu F; Fang Y; Li X; Zhang Q; Zhang Z
    Front Oncol; 2022; 12():944569. PubMed ID: 35957890
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [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]  

  • 20. Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study.
    Luo XQ; Kang YX; Duan SB; Yan P; Song GB; Zhang NY; Yang SK; Li JX; Zhang H
    J Med Internet Res; 2023 Jan; 25():e41142. PubMed ID: 36603200
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.