Objective study of the facial parameters of observations in patients with type 2 diabetes mellitus by machine learning.

ABSTRACT:

Background

A predictive model of facial feature data was established by machine learning to screen the objective parameters of risk factors of facial morphological features of type 2 diabetes mellitus (T2DM) following the theory of traditional Chinese medicine (TCM). In TCM, a facial inspection is an important way to diagnose patients. Doctors can judge the health status of their patients by observing their facial features. However, the lack of description of the objective parameters and quantitative indicators hinders the development of TCM testing research.

Methods

In this study, the following diagnostic criteria for diabetes developed by the World Health Organization (WHO) in 1999 were used to determine the inclusion and exclusion criteria for T2DM and non-T2DM. T2DM pati

SUBMITTER: Cheng B 

PROVIDER: S-EPMC9577725 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature