The invention discloses a
big data mining
system based on a
traditional Chinese medicine diabetes
database in the technical field of
big data, and the
system comprises an acquisition unit and a construction unit, and the construction unit is used for obtaining the age, gender,
pathogenesis, illness,
traditional Chinese medicine diagnosis and
traditional Chinese medicine symptom type of a patient according to the features of the patient, and obtaining the
drug type according to a prescription; constructing a matrix of different
drug types and the age, gender,
pathogenesis,
disease symptoms, traditional Chinese
medicine diagnosis and traditional Chinese
medicine symptom types of the patient, thereby constructing the association between the different
drug types and the age, gender,
pathogenesis,
disease symptoms, traditional Chinese
medicine diagnosis and traditional Chinese medicine symptom types of the patient, and establishing a special diabetes
disease knowledge graph; an input unit; and the mining unit is used for mining required treatment drugs from the special diabetes disease knowledge map according to the age, the gender, the pathogenesis, the diseases, the traditional Chinese medicine diagnosis and the traditional Chinese medicine symptom type so as to solve the problem that in the prior art, the drug combination in the prescription is difficult to flexibly adjust according to the physique and the symptom of the patient, so that the mined prescription is relatively weak in pertinence.