Tailored machine learning for evaluating the long-term diabetes risk in older individuals: findings from the Irish Longitudinal Study on Ageing (TILDA).

ABSTRACT:

Objectives

The prevalence of diabetes has increased globally, leading to a significant disease burden and financial cost. Early prediction is crucial to control its prevalence.

Design

A prospective cohort study.

Setting

National representative study on Irish.

Participants

8504 individuals aged 50 years or older were included.

Primary and secondary outcome measures

Surveys were conducted to collect over 40 000 variables related to social, financial, health, mental and family status. Feature selection was performed using logistic regression. Different machine/deep learning algorithms were trained, including distributed random forest, extremely randomised trees, a generalised linear model with regularisation, a gradient boosting machine and a deep neural ne

SUBMITTER: Xu X 

PROVIDER: S-EPMC10255035 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature