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1.
مقالة ي صينى | WPRIM | ID: wpr-1008456

الملخص

To analyze the medication regularity of traditional Chinese medicine(TCM) prescriptions for gastropyretic excessiveness diabetes recorded in Chinese Medicine Prescriptions Dictionary. A total of 103 eligible prescriptions were input into the system platform, and the Apriori algorithm was used to analyze their medication regularity. The 103 prescriptions for gastropyretic excessiveness diabetes were selected from the system, and 29 herb medicines were found with frequency of usage more than 8. Totally 33 commonly used herbal pairs(support degree≥10), twenty-three 3-herb core combinations(support degree≥8, confidence values≥0.5), and twenty-one 4-herb core combinations(confidence values≥0.5) were discovered after the medication regularity analysis by Apriori algorithm. The herbal medicine combinations with the highest correlation degree were discovered after the association rule analysis on the 103 prescriptions(support degree≥10, confidence values≥0.5). The four properties, five tastes, channel distributions and frequency of dose of the 103 prescriptions were also obtained after the corresponding analysis. According to the analysis and summary of the above data, the combination of Trichosanthis Radix, Anemarrhenae Rhizoma, Coptidis Rhizoma and Ophiopogonis Radix could reflect the medication regularity of TCM prescriptions for gastropyretic excessiveness diabetes to a certain degree, which is of great significance in guiding value in clinic.


الموضوعات
Humans , Data Mining , Diabetes Mellitus/drug therapy , Drug Prescriptions/statistics & numerical data , Drugs, Chinese Herbal/administration & dosage , Medicine, Chinese Traditional
2.
China Medical Equipment ; (12): 102-105, 2018.
مقالة ي صينى | WPRIM | ID: wpr-706496

الملخص

Objective: To research a intelligent mobile APP information platform is used to carry out remote diagnosis and treatment services for the patients with diabetes so as to improve the medical experience and treatment compliance of the patients with diabetes. Methods: The patient's physiological information data that were obtained from home wearable medical devices were collected through the Bluetooth technique by using wireless mobile network. And the APP system was used to carry out remote online multi-channel communication between doctor and patient, and was applied to establish relevant health records. Results: The control rate of blood sugar, blood pressure, blood lipid and other indicators of patients with diabetics have been increased from 33% to 70%, and the filing rate of health records of patients also has been increased from 29% to 85%. Conclusion: The application of multi-channel multimedia interconnect platform and the integration of health data of patients with diabetes can ensure patients to complete treatment in least process, and it can provided convenient communication in real time for doctor and patients. And it also can greatly enhance the efficiency for the management of diabetes, improve satisfaction of patient, reduce the risk of hypoglycemia and the complications of diabetes.

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