Integrating traditional Chinese pulse diagnosis with machine learning: novel approaches for pregnancy and coronary heart disease identification.

ABSTRACT: This study integrated ancient Traditional Chinese Medicine (TCM) pulse diagnosis techniques with modern machine learning to advance contemporary medical diagnostics. A portable intelligent TCM pulse diagnostic device was developed using MEMS and CMOS technologies to collect detailed pulse waveform data from three groups: healthy females, females with coronary heart disease (CHD), and pregnant females in the first trimester. Three feature selection methods-Random Forest, Recursive Feature Elimination, and correlation analysis were adopted to identify key pulse features. Thirteen classification algorithms using various combinations of feature selection and machine learning approaches were evaluated. This study achieved a maximum classification accuracy of 80% using solely pulse data. Incorpo

SUBMITTER: Qiao M 

PROVIDER: S-EPMC12521580 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature