What's New

Last Posted: Oct 29, 2021

• Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India.
  Birk Nick et al. The Journal of nutrition 2021 151(Supplement_2) 110S-118S
• Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study.
  van Doorn William P T M et al. PloS one 2021 16(6) e0253125
• Predicting youth diabetes risk using NHANES data and machine learning.
  Vangeepuram Nita et al. Scientific reports 2021 11(1) 11212
• Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
  Li Jun et al. International journal of medical informatics 2021 149104429
• A tongue features fusion approach to predicting prediabetes and diabetes with machine learning.
  Li Jun et al. Journal of biomedical informatics 2021 Feb 103693
• Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications
  MM Baig et al, Appl Clin Informatics, January 2021
• Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes
  R Wagner et al, Nature Medicine, January 4, 2021
• PRISQ: a simple risk score to screen for prediabetes: a cross-sectional study from the Qatar Biobank Cohort.
  Abbas Mostafa et al. Journal of diabetes investigation 2020 Oct
• Artificial Intelligence Uncovered Clinical Factors for Cardiovascular Events in Myocardial Infarction Patients with Glucose Intolerance.
  Shindo Kazuhiro et al. Cardiovascular drugs and therapy 2020 May
• A combined strategy of feature selection and machine learning to identify predictors of prediabetes.
  De Silva Kushan et al. Journal of the American Medical Informatics Association : JAMIA 2019 Dec

More