Journal of Health & Medical Informatics

Mohammed Dehbi

Publications

• Research Article
  Application of High-Dimensional Statistics and Network Based Visualization Techniques on Arab Diabetes and Obesity Data
  Author(s): Raghvendra Mall, Reda Rawi, Ehsan Ullah, Khalid Kunji, Abdelkrim Khadir, Ali Tiss, Jehad Abubaker, Michal A Kulinski, Mohammad M Ramzi, Mohammed Dehbi and Halima BensmailRaghvendra Mall, Reda Rawi, Ehsan Ullah, Khalid Kunji, Abdelkrim Khadir, Ali Tiss, Jehad Abubaker, Michal A Kulinski, Mohammad M Ramzi, Mohammed Dehbi and Halima Bensmail
  
  Background: Obesity and its co-morbidities are characterized by a chronic low-grade in amatory state, uncontrolled expression of metabolic measurements and dis-regulation of various forms of stress response. However, the contribution and correlation of in ammation, metabolism and stress responses to the disease are not fully elucidated. In this paper a cross-sectional case study was conducted on clinical data comprising 117 human male and female subjects with and without Type 2 Diabetes (T2D). Characteristics such as anthropometric, clinical and biochemical measurements were collected. Methods: Association of these variables with T2D and BMI were assessed using penalized hierarchical linear and logistic regression. In particular, elastic net, hdi and glinternet were used as regularization models to distinguish between cases and controls. Differential network analysis using closed-form.. Read More»
  DOI: 10.4172/2157-7420.1000257

  Abstract PDF