Inferring individuals´ sub-health and their TCM syndrome based on the diagnosis of TCM doctors

This paper represents an approach automatically inferring users´ sub-healthy state and the corresponding Traditional Chinese Medicine (TCM) syndrome based on TCM doctors´ knowledge, so as to construct a system which helps users recuperating from the sub-health by means of showing them the relevant regimen. The system´s framework involves utilizing objects´ facial features, feelings, and physical status to infer their sub-healthy state and TCM syndrome, and providing the relevant mental care plan and diet plan according to their TCM syndrome. This paper also introduces the data collection for training the inference model, and describes the algorithm of association rule mining while the individuality of TCM doctor´s criteria in diagnosing is considered. Experiment results demonstrate the effectiveness and efficiency of the proposed method, and show the potential important role of the TCM in diagnosing people´s sub-healthy state, and helping them to recuperate from it.