AI Machine Learning-Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis.

ABSTRACT:

Background

Diabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population.

Objective

This study determined diabetes risk factors among older adults aged ≥60 years using machine learning algorithms and selected an optimized prediction model.

Methods

This cross-sectional study was conducted on 3084 older adults aged ≥60 years in Seoul from January to November 2023. Data were collected using a mobile app (Gosufit) that measured depression, stress, anxiety, basal metabolic rate, oxygen saturation, heart rate, and average daily step count. Health coordinators recorded data on diabetes, hypertension, hyperlipidemia, chronic obstructive pulmonary disease, percent body fat, and percent muscle. The presence of diabetes was

SUBMITTER: Lee H 

PROVIDER: S-EPMC11779598 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature