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Objective: To analyze the component law of Chinese medicines for gout by mutual information mining. Methods: Chinese medicine prescriptions for gout were collected and recorded in the database, and then the frequency analysis of herbs, correlation coefficient between herbs, core combinations of herbs were analyzed by using modified mutual information, complex system entropy cluster and unsupervised...
Improving the medical quality and guarantee the safety is the eternal theme of medical industry, which emphasizes the patient-centered and happiness-oriented. The healthcare service is not only a technological but also a high-risk industry. Since that risk exists throughout the medical work, risk prediction and management have become an important part of hospital management. The comprehensive risk...
Objective: To analyze the component law of Chinese medicines for gout, and develop new prescriptions for gout through unsupervised data mining methods. Methods: Chinese medicine recipes for gout were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs and new prescriptions were analyzed by using modified mutual information, complex...
Traditional Chinese medicines (CM) topical herbs for atopic dermatitis are mainly consist of nourishing the blood, dryness-moistening, dry-dampness, skin-moisturizing and itching-relief, of which therapeutic principles are taken as dryness-moistening to relieve itching. Based on the modified mutual information, complex system entropy cluster and unsupervised hierarchical clustering, the CM recipes...
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