BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 29529860)

  • 1. Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.
    Borzouei S; Soltanian AR
    Epidemiol Health; 2018; 40():e2018007. PubMed ID: 29529860
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Nonparametric Bootstrap Confidence Interval for the Prevalence of Undiagnosed Type 2 Diabetes Mellitus in Hamadan, West of Iran.
    Azizi E; Borzouei S; Soltanian AR
    J Res Health Sci; 2018 Aug; 18(3):e00421. PubMed ID: 30270214
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Impact of dynamic changes of waist circumference and body mass index on type 2 diabetes mellitus risk].
    Chen F; Guo Z; Wu M; Zhou Z; Luo W
    Zhonghua Yu Fang Yi Xue Za Zhi; 2015 Dec; 49(12):1092-7. PubMed ID: 26887305
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Body mass index, waist circumference and waist-to-height ratio associated with the incidence of type 2 diabetes mellitus: a cohort study].
    Yang XY; Zhang M; Luo XP; Wang JJ; Yin L; Pang C; Wang GA; Shen YX; Wu DT; Zhang L; Ren YC; Wang BY; Zhang HY; Zhou JM; Han CY; Zhao Y; Feng TP; Hu DS; Zhao JZ
    Zhonghua Yu Fang Yi Xue Za Zhi; 2016 Apr; 50(4):328-33. PubMed ID: 27029364
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Body weight and waist circumference as predictors of vitamin D deficiency in patients with type 2 diabetes and cardiovascular disease.
    Kavarić S; Vuksanović M; Bozović D; Jovanović M; Jeremić V; Radojicić Z; Pekić S; Popović V
    Vojnosanit Pregl; 2013 Feb; 70(2):163-9. PubMed ID: 23607183
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [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]  

  • 7. Modelling the prevalence of diabetes mellitus risk factors based on artificial neural network and multiple regression.
    Gholipour K; Asghari-Jafarabadi M; Iezadi S; Jannati A; Keshavarz S
    East Mediterr Health J; 2018 Oct; 24(8):770-777. PubMed ID: 30328607
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of back propagation artificial neural network on genetic variants in adiponectin ADIPOQ, peroxisome proliferator-activated receptor-γ, and retinoid X receptor-α genes and type 2 diabetes risk in a Chinese Han population.
    Shi H; Lu Y; Du J; Du W; Ye X; Yu X; Ma J; Cheng J; Gao Y; Cao Y; Zhou L; Li Q
    Diabetes Technol Ther; 2012 Mar; 14(3):293-300. PubMed ID: 22023374
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment of the Role of Serum 25-Hydroxy Vitamin D Level on Coronary Heart Disease Risk With Stratification Among Patients With Type 2 Diabetes Mellitus.
    Bener A; Al-Hamaq AOAA; Zughaier SM; Öztürk M; Ömer A
    Angiology; 2021 Jan; 72(1):86-92. PubMed ID: 32840113
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effect of age and sex on the associations between potential modifiable risk factors and both type 2 diabetes and impaired fasting glycaemia among West African adults.
    Issaka A; Cameron AJ; Paradies Y; Bosu WK; Houehanou YCN; Kiwallo JB; Wesseh CS; Houinato DS; Nazoum DJP; Stevenson C
    BMC Public Health; 2022 Jun; 22(1):1211. PubMed ID: 35715792
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Visceral Adiposity Measurements, Metabolic and Inflammatory Profi le in Obese Patients with and Without Type 2 Diabetes Mellitus: A Crosssectional Analysis.
    Wanderley Rocha DR; Jorge AR; Braulio VB; Arbex AK; Marcadenti A
    Curr Diabetes Rev; 2017; 13(1):11-18. PubMed ID: 26467189
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predictors of undiagnosed prevalent type 2 diabetes - The Danish General Suburban Population Study.
    Heltberg A; Andersen JS; Sandholdt H; Siersma V; Kragstrup J; Ellervik C
    Prim Care Diabetes; 2018 Feb; 12(1):13-22. PubMed ID: 28964672
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The contribution of physical inactivity and socioeconomic factors to type 2 diabetes in Nepal: A structural equation modelling analysis.
    Paudel S; Tran T; Owen AJ; Smith BJ
    Nutr Metab Cardiovasc Dis; 2020 Sep; 30(10):1758-1767. PubMed ID: 32636120
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Associations between obesity indices and both type 2 diabetes and impaired fasting glucose among West African adults: Results from WHO STEPS surveys.
    Issaka A; Cameron AJ; Paradies Y; Kiwallo JB; Bosu WK; Houehanou YCN; Wesseh CS; Houinato DS; Nazoum DJP; Stevenson C
    Nutr Metab Cardiovasc Dis; 2021 Aug; 31(9):2652-2660. PubMed ID: 34226119
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prevalence of low serum testosterone levels among men with type 2 diabetes mellitus attending two outpatient diabetes clinics in KwaZulu-Natal Province, South Africa.
    Paruk IM; Pirie FJ; Nkwanyana NM; Motala AA
    S Afr Med J; 2019 Nov; 109(12):963-970. PubMed ID: 31865960
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adiposity phenotypes are associated with type-2 diabetes: LAP index, body adiposity index, and neck circumference.
    Marcadenti A; Fuchs FD; Moreira LB; Gus M; Fuchs SC
    Atherosclerosis; 2017 Nov; 266():145-150. PubMed ID: 29028482
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Gender-specific associations of body mass index and waist circumference with type 2 diabetes mellitus in Chinese rural adults: The Henan Rural Cohort Study.
    Tian Z; Li Y; Li L; Liu X; Zhang H; Zhang X; Qian X; Zhou W; Jiang J; Zhao J; Yin L; Wang C
    J Diabetes Complications; 2018 Sep; 32(9):824-829. PubMed ID: 30017434
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men.
    Wang S; Chen J; Wang Y; Yang Y; Zhang D; Liu C; Wang K
    J Diabetes Res; 2019; 2019():1853018. PubMed ID: 31612146
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Screening for type 2 diabetes: a short report for the National Screening Committee.
    Waugh NR; Shyangdan D; Taylor-Phillips S; Suri G; Hall B
    Health Technol Assess; 2013 Aug; 17(35):1-90. PubMed ID: 23972041
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Inconsistency in albuminuria predictors in type 2 diabetes: a comparison between neural network and conditional logistic regression.
    Morteza A; Nakhjavani M; Asgarani F; Carvalho FL; Karimi R; Esteghamati A
    Transl Res; 2013 May; 161(5):397-405. PubMed ID: 23333109
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.