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 *

124 related articles for article (PubMed ID: 35250610)

  • 1. Unraveling the Factors Determining Development of Type 2 Diabetes in Women With a History of Gestational Diabetes Mellitus Through Machine-Learning Techniques.
    Ilari L; Piersanti A; Göbl C; Burattini L; Kautzky-Willer A; Tura A; Morettini M
    Front Physiol; 2022; 13():789219. PubMed ID: 35250610
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model.
    Belsti Y; Moran L; Du L; Mousa A; De Silva K; Enticott J; Teede H
    Int J Med Inform; 2023 Nov; 179():105228. PubMed ID: 37774429
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A machine learning-based framework to identify type 2 diabetes through electronic health records.
    Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y
    Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Antepartum glucose tolerance test results as predictors of type 2 diabetes mellitus in women with a history of gestational diabetes mellitus: a systematic review.
    Golden SH; Bennett WL; Baptist-Roberts K; Wilson LM; Barone B; Gary TL; Bass E; Nicholson WK
    Gend Med; 2009; 6 Suppl 1():109-22. PubMed ID: 19318222
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.
    Shen J; Chen J; Zheng Z; Zheng J; Liu Z; Song J; Wong SY; Wang X; Huang M; Fang PH; Jiang B; Tsang W; He Z; Liu T; Akinwunmi B; Wang CC; Zhang CJP; Huang J; Ming WK
    J Med Internet Res; 2020 Sep; 22(9):e21573. PubMed ID: 32930674
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.
    Wang J; Lv B; Chen X; Pan Y; Chen K; Zhang Y; Li Q; Wei L; Liu Y
    BMC Pregnancy Childbirth; 2021 Dec; 21(1):814. PubMed ID: 34879850
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Gaussian process-based kernel as a diagnostic model for prediction of type 2 diabetes mellitus risk using non-linear heart rate variability features.
    Shashikant R; Chaskar U; Phadke L; Patil C
    Biomed Eng Lett; 2021 Aug; 11(3):273-286. PubMed ID: 34350053
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Metabolic profiling of pre-gestational and gestational diabetes mellitus identifies novel predictors of pre-term delivery.
    Diboun I; Ramanjaneya M; Majeed Y; Ahmed L; Bashir M; Butler AE; Abou-Samra AB; Atkin SL; Mazloum NA; Elrayess MA
    J Transl Med; 2020 Sep; 18(1):366. PubMed ID: 32972433
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.
    Wu YT; Zhang CJ; Mol BW; Kawai A; Li C; Chen L; Wang Y; Sheng JZ; Fan JX; Shi Y; Huang HF
    J Clin Endocrinol Metab; 2021 Mar; 106(3):e1191-e1205. PubMed ID: 33351102
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evidence to support the classification of hyperglycemia first detected in pregnancy to predict diabetes 6-12 weeks postpartum: A single center cohort study.
    Coetzee A; Sadhai N; Mason D; Hall DR; Conradie M
    Diabetes Res Clin Pract; 2020 Nov; 169():108421. PubMed ID: 32920101
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Decreased high-molecular-weight adiponectin in gestational diabetes: implications for the pathophysiology of Type 2 diabetes.
    Retnakaran R; Connelly PW; Maguire G; Sermer M; Zinman B; Hanley AJ
    Diabet Med; 2007 Mar; 24(3):245-52. PubMed ID: 17305786
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
    Li J; Chen Q; Hu X; Yuan P; Cui L; Tu L; Cui J; Huang J; Jiang T; Ma X; Yao X; Zhou C; Lu H; Xu J
    Int J Med Inform; 2021 May; 149():104429. PubMed ID: 33647600
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A simple model to predict risk of gestational diabetes mellitus from 8 to 20 weeks of gestation in Chinese women.
    Zheng T; Ye W; Wang X; Li X; Zhang J; Little J; Zhou L; Zhang L
    BMC Pregnancy Childbirth; 2019 Jul; 19(1):252. PubMed ID: 31324151
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Use of Machine Learning Techniques to Determine the Predictive Value of Inflammatory Biomarkers in the Development of Type 2 Diabetes Mellitus.
    Garcia-Carretero R; Vigil-Medina L; Barquero-Perez O
    Metab Syndr Relat Disord; 2021 May; 19(4):240-248. PubMed ID: 33596118
    [No Abstract]   [Full Text] [Related]  

  • 15. Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China.
    Liu H; Li J; Leng J; Wang H; Liu J; Li W; Liu H; Wang S; Ma J; Chan JC; Yu Z; Hu G; Li C; Yang X
    Diabetes Metab Res Rev; 2021 Jul; 37(5):e3397. PubMed ID: 32845061
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Oral Glucose Tolerance Test Results in Pregnancy Can Be Used to Individualize the Risk of Future Maternal Type 2 Diabetes Mellitus in Women With Gestational Diabetes Mellitus.
    Hiersch L; Shah BR; Berger H; Geary M; McDonald SD; Murray-Davis B; Halperin I; Retnakaran R; Barrett J; Melamed N;
    Diabetes Care; 2021 Aug; 44(8):1860-1867. PubMed ID: 34131049
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The risk factors and incidence of type 2 diabetes mellitus and metabolic syndrome in women with previous gestational diabetes.
    Valizadeh M; Alavi N; Mazloomzadeh S; Piri Z; Amirmoghadami H
    Int J Endocrinol Metab; 2015 Apr; 13(2):e21696. PubMed ID: 25892996
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.
    Golpour P; Ghayour-Mobarhan M; Saki A; Esmaily H; Taghipour A; Tajfard M; Ghazizadeh H; Moohebati M; Ferns GA
    Int J Environ Res Public Health; 2020 Sep; 17(18):. PubMed ID: 32899733
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gestational diabetes mellitus and subsequent development of overt diabetes mellitus.
    Damm P
    Dan Med Bull; 1998 Nov; 45(5):495-509. PubMed ID: 9850811
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting Health Material Accessibility: Development of Machine Learning Algorithms.
    Ji M; Liu Y; Hao T
    JMIR Med Inform; 2021 Sep; 9(9):e29175. PubMed ID: 34468321
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.