The Usage of Lasso, Ridge, and Linear Regression to Explore the Most Influential Metabolic Variables that Affect Fasting Blood Sugar in Type 2 Diabetes Patients

Background and aims: To explore the most influential variables of fasting blood sugar (FBS) with three regression methods, to identify the existence chance of type 2 diabetes based on influential variables with logistic regression (LR), and to compare the three regression methods according to Mean S...

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Bibliographic Details
Main Authors: Farbahari Arash, Dehesh Tania, Gozashti Mohammad Hossien
Format: Article
Language:English
Published: Sciendo 2019-12-01
Series:Romanian Journal of Diabetes Nutrition and Metabolic Diseases
Subjects:
Online Access:https://doi.org/10.2478/rjdnmd-2019-0040