Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study.

Ensemble learning can effectively use information from structured and unstructured data to improve classification accuracy through decision-level fusion. This study provides a new idea and method for pulse signal classification, which is of practical value for pulse diagnosis objectification.