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 *

336 related articles for article (PubMed ID: 32157171)

  • 1. 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]  

  • 2. [Establishing a noninvasive prediction model for type 2 diabetes mellitus based on a rural Chinese population].
    Zhang HY; Shi WH; Zhang M; Yin L; Pang C; Feng TP; Zhang L; Ren YC; Wang BY; Yang XY; Zhou JM; Han CY; Zhao Y; Zhao JZ; Hu DS
    Zhonghua Yu Fang Yi Xue Za Zhi; 2016 May; 50(5):397-403. PubMed ID: 27141894
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genetic Risk Score Increased Discriminant Efficiency of Predictive Models for Type 2 Diabetes Mellitus Using Machine Learning: Cohort Study.
    Wang Y; Zhang L; Niu M; Li R; Tu R; Liu X; Hou J; Mao Z; Wang Z; Wang C
    Front Public Health; 2021; 9():606711. PubMed ID: 33681127
    [No Abstract]   [Full Text] [Related]  

  • 4. Comparing the accuracy of four machine learning models in predicting type 2 diabetes onset within the Chinese population: a retrospective study.
    Liu H; Dong S; Yang H; Wang L; Liu J; Du Y; Liu J; Lyu Z; Wang Y; Jiang L; Yu S; Fu X
    J Int Med Res; 2024 Jun; 52(6):3000605241253786. PubMed ID: 38870271
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nonlaboratory-based risk assessment model for coronary heart disease screening: Model development and validation.
    Zhang L; Niu M; Zhang H; Wang Y; Zhang H; Mao Z; Zhang X; He M; Wu T; Wang Z; Wang C
    Int J Med Inform; 2022 Mar; 162():104746. PubMed ID: 35325662
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An environment-wide association study for the identification of non-invasive factors for type 2 diabetes mellitus: Analysis based on the Henan Rural Cohort study.
    Li S; Chen Y; Zhang L; Li R; Kang N; Hou J; Wang J; Bao Y; Jiang F; Zhu R; Wang C; Zhang L
    Diabetes Res Clin Pract; 2023 Oct; 204():110917. PubMed ID: 37748711
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and External Validation of a Machine Learning-based Fall Prediction Model for Nursing Home Residents: A Prospective Cohort Study.
    Shao L; Wang Z; Xie X; Xiao L; Shi Y; Wang ZA; Zhang JE
    J Am Med Dir Assoc; 2024 Sep; 25(9):105169. PubMed ID: 39067863
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Interpretable machine learning for allergic rhinitis prediction among preschool children in Urumqi, China.
    Wang J; Yang Y; Gong X
    Sci Rep; 2024 Sep; 14(1):22281. PubMed ID: 39333659
    [TBL] [Abstract][Full Text] [Related]  

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

  • 11. Machine-learning algorithms in screening for type 2 diabetes mellitus: Data from Fasa Adults Cohort Study.
    Karmand H; Andishgar A; Tabrizi R; Sadeghi A; Pezeshki B; Ravankhah M; Taherifard E; Ahmadizar F
    Endocrinol Diabetes Metab; 2024 Mar; 7(2):e00472. PubMed ID: 38411386
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.
    Xue M; Su Y; Li C; Wang S; Yao H
    J Diabetes Res; 2020; 2020():6873891. PubMed ID: 33029536
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [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]  

  • 14. Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults.
    Xiong XL; Zhang RX; Bi Y; Zhou WH; Yu Y; Zhu DL
    Curr Med Sci; 2019 Aug; 39(4):582-588. PubMed ID: 31346994
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.
    Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY
    Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults.
    Shi Y; Zhang Y; Cao Z; Ma L; Yuan Y; Niu X; Su Y; Xie Y; Chen X; Xing L; Hei X; Liu H; Wu S; Li W; Ren X
    BMC Med Inform Decis Mak; 2023 Oct; 23(1):230. PubMed ID: 37858225
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
    Dinh A; Miertschin S; Young A; Mohanty SD
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches.
    Kazerouni F; Bayani A; Asadi F; Saeidi L; Parvizi N; Mansoori Z
    BMC Bioinformatics; 2020 Aug; 21(1):372. PubMed ID: 32854616
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques.
    Liu Q; Zhang M; He Y; Zhang L; Zou J; Yan Y; Guo Y
    J Pers Med; 2022 May; 12(6):. PubMed ID: 35743691
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.