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According to the Traditional Chinese Medicine (TCM) theory, there are a number of TCM syndromes closely related to the sub-health status. In this paper, a personal sub-health status diagnosing prototype system, which acquires users' answers from health-related questions list, head images and videos, to give the diagnosis about the users' health states. The system can infer users' syndromes named in the Diagnostics of Chinese Medicine by calculating the degree of the given syndromes. The methods utilized about data-acquisition, doctor labeling, feature extraction and data mining are introduced. In the particular, the interval-valued cloud model is conducted to infer the syndromes on the basis of TCM doctors' diagnosis data. The experimental results are analyzed and compared.