A new method for assessing chronic insomnia: Machine learning-based fusion of TCM observation digital features.

ABSTRACT:

Background

In the clinical assessment of chronic insomnia, modern medicine encounters challenges in the widespread adoption of objective assessment methods, such as polysomnography, due to their high costs and complex operational requirements. Therefore, it was crucial to implement objective and varied methods to accurately assess chronic insomnia.

Methods

Clinical information was collected from 594 patients diagnosed with chronic insomnia. Their facial and tongue features, as observed through traditional Chinese medicine, were recorded using the tongue face diagnosis analysis-1 instrument and analyzed with the tongue/face diagnosis analysis system. Stepwise-regression analysis, principal component analysis, and zero-inflated negative binomial (ZINB) regression were employed

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12647562 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature