Applying Machine Learning To Assess Dietary Patterns

Principal Investigator

Name
Weslie Khoo

Degrees
Ph.D.

Institution
Indiana University

Position Title
Postdoc Fellow

Email
weskhoo@iu.edu

About this CDAS Project

Study
IDATA (Learn more about this study)

Project ID
IDATA-72

Initial CDAS Request Approval
Apr 11, 2024

Title
Applying Machine Learning To Assess Dietary Patterns

Summary
The evaluation of food intake is important in scientific research and clinical practice to understand the relationship between diet and health conditions of an individual or a population. The overarching goal of this project is to discover objective markers of dietary intake with biomarkers. Such an approach employs error reduction strategies that can help alleviate concerns associated with highly error-prone traditional dietary assessment techniques.

Aims

Compare identification of biomarkers associated with various dietary patterns via conventional statistical models to machine learning approaches.

Collaborators

David Crandall - Indiana University