Predictive Modeling of Weight Loss and Metabolic Health Outcomes: A Retrospective Predictive Modeling Study.

ABSTRACT:

Background

Obesity is a chronic, complicated, and progressive disease that significantly affects mortality, quality of life, and overall health in nearly 13% of the adult population worldwide. Thus, solutions like a hypocaloric diet with a Mediterranean diet pattern aim to control this and other metabolic problems.

Objectives

This study developed and measured the performance of different machine learning (ML) models designed to predict body weight loss and/or metabolic syndrome (MetS) change after a 3-month hypocaloric diet with a Mediterranean pattern in obesity-diagnosed patients.

Methods

The data set was provided by a clinical trial of 893 obese patients. Five machine learning architectures were implemented: Logistic Regression, Decision Tree Classifier, Random For

SUBMITTER: Andrade-Calle R 

PROVIDER: S-EPMC12491857 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature