The definition of insulin resistance using HOMA-IR for Americans of Mexican descent using machine learning.

ABSTRACT:

Objective

The lack of standardized reference range for the homeostasis model assessment-estimated insulin resistance (HOMA-IR) index has limited its clinical application. This study defines the reference range of HOMA-IR index in an adult Hispanic population based with machine learning methods.

Methods

This study investigated a Hispanic population of 1854 adults, randomly selected on the basis of 2000 Census tract data in the city of Brownsville, Cameron County. Machine learning methods, support vector machine (SVM) and Bayesian Logistic Regression (BLR), were used to automatically identify measureable variables using standardized values that correlate with HOMA-IR; K-means clustering was then used to classify the individuals by insulin resistance.

Results

Our study s

SUBMITTER: Qu HQ 

PROVIDER: S-EPMC3114864 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature