These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

205 related articles for article (PubMed ID: 38476673)

  • 1. Predicting the risk of subclinical atherosclerosis based on interpretable machine models in a Chinese T2DM population.
    Tusongtuoheti X; Shu Y; Huang G; Mao Y
    Front Endocrinol (Lausanne); 2024; 15():1332982. PubMed ID: 38476673
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study.
    Huang G; Jin Q; Mao Y
    J Med Internet Res; 2023 Sep; 25():e46891. PubMed ID: 37698911
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 7():e54872. PubMed ID: 39087583
    [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. Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study.
    Liu XZ; Duan M; Huang HD; Zhang Y; Xiang TY; Niu WC; Zhou B; Wang HL; Zhang TT
    Front Endocrinol (Lausanne); 2023; 14():1184190. PubMed ID: 37469989
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study.
    Zhang L; Wang Y; Niu M; Wang C; Wang Z
    Sci Rep; 2020 Mar; 10(1):4406. PubMed ID: 32157171
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records.
    Dong Z; Wang Q; Ke Y; Zhang W; Hong Q; Liu C; Liu X; Yang J; Xi Y; Shi J; Zhang L; Zheng Y; Lv Q; Wang Y; Wu J; Sun X; Cai G; Qiao S; Yin C; Su S; Chen X
    J Transl Med; 2022 Mar; 20(1):143. PubMed ID: 35346252
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Correlation between Neutrophil-to-Lymphocyte Ratio and Diabetic Neuropathy in Chinese Adults with Type 2 Diabetes Mellitus Using Machine Learning Methods.
    Zhu L; Liu Y; Zheng B; Dong D; Xie X; Hu L
    Int J Endocrinol; 2024; 2024():7044644. PubMed ID: 39119009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
    Yun K; He T; Zhen S; Quan M; Yang X; Man D; Zhang S; Wang W; Han X
    J Transl Med; 2023 May; 21(1):353. PubMed ID: 37246225
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management.
    Pan H; Sun J; Luo X; Ai H; Zeng J; Shi R; Zhang A
    Front Med (Lausanne); 2023; 10():1136653. PubMed ID: 37181375
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning.
    Xiong Y; Liu YM; Hu JQ; Zhu BQ; Wei YK; Yang Y; Wu XW; Long EW
    Front Pharmacol; 2023; 14():1259596. PubMed ID: 38269284
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A machine learning approach to predicting vascular calcification risk of type 2 diabetes: A retrospective study.
    Liang X; Li X; Li G; Wang B; Liu Y; Sun D; Liu L; Zhang R; Ji S; Yan W; Yu R; Gao Z; Liu X
    Clin Cardiol; 2024 Apr; 47(4):e24264. PubMed ID: 38563389
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Construction of a predictive model for radiation proctitis after radiotherapy for female pelvic tumors based on machine learning.
    Xie H; Gong M; Zhang J; Li Q
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1065-1074. PubMed ID: 36097774
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel explainable online calculator for contrast-induced AKI in diabetics: a multi-centre validation and prospective evaluation study.
    Ma M; Wan X; Chen Y; Lu Z; Guo D; Kong H; Pan B; Zhang H; Chen D; Xu D; Sun D; Lang H; Zhou C; Li T; Cao C
    J Transl Med; 2023 Jul; 21(1):517. PubMed ID: 37525240
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A potent risk model for predicting new-onset acute coronary syndrome in patients with type 2 diabetes mellitus in Northwest China.
    Lyu J; Li Z; Wei H; Liu D; Chi X; Gong DW; Zhao Q
    Acta Diabetol; 2020 Jun; 57(6):705-713. PubMed ID: 32008161
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.