BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 38194779)

  • 21. Machine learning for the prediction of atherosclerotic cardiovascular disease during 3-year follow up in Chinese type 2 diabetes mellitus patients.
    Ding J; Luo Y; Shi H; Chen R; Luo S; Yang X; Xiao Z; Liang B; Yan Q; Xu J; Ji L
    J Diabetes Investig; 2023 Nov; 14(11):1289-1302. PubMed ID: 37605871
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Case-Control Study on the Interaction Effects of rs10757278 Polymorphisms at 9p21 Locus and Traditional Risk Factors on Coronary Heart Disease in Xinjiang, China.
    Lu WH; Zhang WQ; Zhao YJ; Gao YT; Tao N; Ma YT; Liu JW; Wulasihan M
    J Cardiovasc Pharmacol; 2020 May; 75(5):439-445. PubMed ID: 32079855
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults.
    Wu Y; Hu H; Cai J; Chen R; Zuo X; Cheng H; Yan D
    Front Public Health; 2021; 9():626331. PubMed ID: 34268283
    [No Abstract]   [Full Text] [Related]  

  • 24. Regional Differences in the Prevalence of Coronary Heart Disease and Stroke in Patients With Type 2 Diabetes in China.
    Lyu Y; Luo Y; Li C; Guo X; Lu J; Wu H; Huo X; Gu W; Yang G; Ji L; Yang X
    J Clin Endocrinol Metab; 2018 Sep; 103(9):3319-3330. PubMed ID: 29982638
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The Prospective Cardiovascular Münster (PROCAM) study: prevalence of hyperlipidemia in persons with hypertension and/or diabetes mellitus and the relationship to coronary heart disease.
    Assmann G; Schulte H
    Am Heart J; 1988 Dec; 116(6 Pt 2):1713-24. PubMed ID: 3202078
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Predicting 7-day unplanned readmission in elderly patients with coronary heart disease using machine learning.
    Song X; Tong Y; Luo Y; Chang H; Gao G; Dong Z; Wu X; Tong R
    Front Cardiovasc Med; 2023; 10():1190038. PubMed ID: 37614939
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Data-driven, two-stage machine learning algorithm-based prediction scheme for assessing 1-year and 3-year mortality risk in chronic hemodialysis patients.
    Lee WT; Fang YW; Chang WS; Hsiao KY; Shia BC; Chen M; Tsai MH
    Sci Rep; 2023 Dec; 13(1):21453. PubMed ID: 38052875
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prevalence of cardiovascular disease risk factors in Chinese patients with type 2 diabetes mellitus, 2013-2018.
    Wang C; Xie Z; Huang X; Wang Z; ShangGuan H; Wang S
    Curr Med Res Opin; 2022 Mar; 38(3):345-354. PubMed ID: 35012406
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Development and validation of a total coronary heart disease risk score in type 2 diabetes mellitus.
    Yang X; So WY; Kong AP; Ma RC; Ko GT; Ho CS; Lam CW; Cockram CS; Chan JC; Tong PC
    Am J Cardiol; 2008 Mar; 101(5):596-601. PubMed ID: 18308005
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Association of circular RNAs and environmental risk factors with coronary heart disease.
    Sun Y; Chen R; Lin S; Xie X; Ye H; Zheng F; Lin J; Huang Q; Huang S; Ruan Q; Zhang T; Li H; Wu S
    BMC Cardiovasc Disord; 2019 Oct; 19(1):223. PubMed ID: 31619168
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Identification of cardiovascular risk components in urban Chinese with metabolic syndrome and application to coronary heart disease prediction: a longitudinal study.
    Zhu Z; Liu Y; Zhang C; Yuan Z; Zhang Q; Tang F; Lin H; Zhang Y; Liu L; Xue F
    PLoS One; 2013; 8(12):e84204. PubMed ID: 24358344
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients.
    Wang Z; Sun Z; Yu L; Wang Z; Li L; Lu X
    Front Pharmacol; 2023; 14():1334439. PubMed ID: 38269285
    [No Abstract]   [Full Text] [Related]  

  • 36. 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]  

  • 37. Development and Validation of a Predictive Model for Chronic Kidney Disease After Percutaneous Coronary Intervention in Chinese.
    Zhang Y; Wang J; Zhai G; Zhou Y
    Clin Appl Thromb Hemost; 2022; 28():10760296211069998. PubMed ID: 35073208
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease.
    Zou Y; Zhao L; Zhang J; Wang Y; Wu Y; Ren H; Wang T; Zhang R; Wang J; Zhao Y; Qin C; Xu H; Li L; Chai Z; Cooper ME; Tong N; Liu F
    Ren Fail; 2022 Dec; 44(1):562-570. PubMed ID: 35373711
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese Multi-Provincial Cohort Study.
    Liu J; Hong Y; D'Agostino RB; Wu Z; Wang W; Sun J; Wilson PW; Kannel WB; Zhao D
    JAMA; 2004 Jun; 291(21):2591-9. PubMed ID: 15173150
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A risk prediction model for renal damage in a hypertensive Chinese Han population.
    Lin J; Xu R; Yun L; Hou Y; Li C; Lian Y; Zheng F
    Clin Exp Hypertens; 2019; 41(6):552-557. PubMed ID: 30299171
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.