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Dataset Information

Tongue diagnosis index of chronic kidney disease.


ABSTRACT:

Background

To apply non-invasive Automatic Tongue Diagnosis System (ATDS) in analyzing tongue features in patients with chronic kidney disease (CKD).

Methods

This was a cross-sectional, case-controlled observational study. Patients with CKD who met the inclusion and exclusion criteria were enrolled and divided into the following groups according to renal function and dialysis status: non-dialysis CKD group; end-stage renal disease (ESRD) group; and control group. Tongue images were captured and eight tongue features-shape, color, fur thickness, saliva, fissure, ecchymosis, teeth marks, and red dots-were imaged and analyzed by ATDS.

Results

117 participants (57 men, 60 women) were enrolled in the study, which included 16 in control group, 38 in non-dialysis CKD group,

SUBMITTER: Chung CJ 

PROVIDER: S-EPMC10104955 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature