A machine learning-based data mining in medical examination data: a biological features-based biological age prediction model.

ABSTRACT:

Background

Biological age (BA) has been recognized as a more accurate indicator of aging than chronological age (CA). However, the current limitations include: insufficient attention to the incompleteness of medical data for constructing BA; Lack of machine learning-based BA (ML-BA) on the Chinese population; Neglect of the influence of model overfitting degree on the stability of the association results.

Methods and results

Based on the medical examination data of the Chinese population (45-90 years), we first evaluated the most suitable missing interpolation method, then constructed 14 ML-BAs based on biomarkers, and finally explored the associations between ML-BAs and health statuses (healthy risk indicators and disease). We found that round-robin linear regression interp

SUBMITTER: Yang Q 

PROVIDER: S-EPMC9528174 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature