Medical Biometrics-Computerized TCM Diagnosis

摘要

The Traditional Chinese Medicine (TCM) diagnosis methods, such as looking/smelling/touching, have been successfully used for thousands of years. However, these methods are mainly relied on Doctor's experience and not quantified. In this presentation, we will try to develop a novel approach by using Medical Biometrics technology, i.e., Computerized TCM Diagnosis, to solve these problems. By some TCM-orient diagnosis acquisition devices, we could collect many kinds of date like tongue/pulse/odor with a priori knowledge from different diseases in hospitals. Then we use a statistical pattern recognition approach to extract all possible features from these images/waveforms, including color, texture, shape, and so on. After matching between our training data and testing data, some decision rules will be made. Finally, we apply our results to the practical diseases diagnosis to illustrate the effectiveness of our approach.