The invention discloses an AI
traditional Chinese medicine constitution detection method and
system based on multi-mode
traditional Chinese medicine observation, smell, questionnaire and
cut four-diagnosis data, and the method comprises the steps: obtaining the observation, smell and
cut three-diagnosis data, carrying out the preprocessing, extracting features, carrying out the single-mode training through a four-diagnosis mode training model, carrying out the
weight distribution fusion, and obtaining a comprehensive feature probability, and inputting the physique classification model to output an initial probability
score, performing staged
decision making according to a
score threshold, and finally generating a report containing physique interpretation, conditioning suggestions and visual display. The
system is applicable to the method. The
system has the beneficial effects that information is obtained in multiple dimensions, the principle of'four diagnoses conform to parameters' is met, and data can be mutually complemented and verified;
invalid data are removed through preprocessing and
feature extraction, and the data and the model are optimized when the probability is insufficient; quantitative standards assist in judgment, and human deviation is reduced; the model is optimized according to feedback, and the recognition capability is improved; and staged decision-making ensures that the result is rigorous and efficient.