Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data Mining
Objective: Based on data mining, to explore the regularity of traditional Chinese medicine (TCM) for diabetic sweating dysfunction (DSD). Methods: Searched the clinical literature about treating for DSD in recent 22 years from CNKI, Wan Fang database, VIP database etc. and set up another database. U...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_02019.pdf |
| _version_ | 1797829398128230400 |
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| author | Hu Yanmini Na Yi |
| author_facet | Hu Yanmini Na Yi |
| author_sort | Hu Yanmini |
| collection | DOAJ |
| description | Objective: Based on data mining, to explore the regularity of traditional Chinese medicine (TCM) for diabetic sweating dysfunction (DSD). Methods: Searched the clinical literature about treating for DSD in recent 22 years from CNKI, Wan Fang database, VIP database etc. and set up another database. Use the Ancient and Modern Medical Records Cloud Platform to analyze the frequency and correlation of syndrome types, traditional Chinese medicine and other information, and use Gephi to analyze the complex network analysis and visual display, and analyze the main syndrome types, medication frequency, four Qi, five flavors, menstruation, nuclear heart prescription and other medication laws of traditional Chinese medicine in the treatment of abnormal sweating in diabetes. Results: Identified 101 studies, involving 166 prescriptions and 163 herbs. The common syndrome types of abnormal sweating in diabetes are Qi Yin deficiency syndrome, yin deficiency internal heat syndrome, lung Wei Qi deficiency syndrome, blood stasis blocking collaterals syndrome, Ying Wei Disharmony Syndrome. The prescription of traditional Chinese medicine has many properties, sweet and flat taste, and it is important to return to the lung and heart meridian. The top five drugs with the highest frequency of use are Astragalus membranaceus, Schisandra chinensis, Rehmannia glutinosa, oyster and licorice. Among them, tonic drugs are used most frequently, followed by heat clearing drugs and astringent drugs. The core prescriptions are Astragalus membranaceus, Schisandra chinensis, oyster, keel, floating wheat, licorice, Rehmannia glutinosa, Ophiopogon japonicus, Angelica sinensis and Atractylodes macrocephala. |
| first_indexed | 2024-04-09T13:19:44Z |
| format | Article |
| id | doaj.art-3fcb8207e00e43ef9e5c919e329fb289 |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-04-09T13:19:44Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-3fcb8207e00e43ef9e5c919e329fb2892023-05-11T09:08:11ZengEDP SciencesBIO Web of Conferences2117-44582023-01-01590201910.1051/bioconf/20235902019bioconf_icbb2023_02019Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data MiningHu Yanmini0Na Yi1Guangzhou Hospital of TCM Affiliated to Guangzhou University of TCM, Master’s degree 2020Endocrine Department, Hospital of TCM Affiliated to Guangzhou Medical UniversityObjective: Based on data mining, to explore the regularity of traditional Chinese medicine (TCM) for diabetic sweating dysfunction (DSD). Methods: Searched the clinical literature about treating for DSD in recent 22 years from CNKI, Wan Fang database, VIP database etc. and set up another database. Use the Ancient and Modern Medical Records Cloud Platform to analyze the frequency and correlation of syndrome types, traditional Chinese medicine and other information, and use Gephi to analyze the complex network analysis and visual display, and analyze the main syndrome types, medication frequency, four Qi, five flavors, menstruation, nuclear heart prescription and other medication laws of traditional Chinese medicine in the treatment of abnormal sweating in diabetes. Results: Identified 101 studies, involving 166 prescriptions and 163 herbs. The common syndrome types of abnormal sweating in diabetes are Qi Yin deficiency syndrome, yin deficiency internal heat syndrome, lung Wei Qi deficiency syndrome, blood stasis blocking collaterals syndrome, Ying Wei Disharmony Syndrome. The prescription of traditional Chinese medicine has many properties, sweet and flat taste, and it is important to return to the lung and heart meridian. The top five drugs with the highest frequency of use are Astragalus membranaceus, Schisandra chinensis, Rehmannia glutinosa, oyster and licorice. Among them, tonic drugs are used most frequently, followed by heat clearing drugs and astringent drugs. The core prescriptions are Astragalus membranaceus, Schisandra chinensis, oyster, keel, floating wheat, licorice, Rehmannia glutinosa, Ophiopogon japonicus, Angelica sinensis and Atractylodes macrocephala.https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_02019.pdf |
| spellingShingle | Hu Yanmini Na Yi Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data Mining BIO Web of Conferences |
| title | Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data Mining |
| title_full | Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data Mining |
| title_fullStr | Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data Mining |
| title_full_unstemmed | Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data Mining |
| title_short | Study on Medication Rule and the Syndrome Type of Abnormal Sweating in Diabetes Based on Data Mining |
| title_sort | study on medication rule and the syndrome type of abnormal sweating in diabetes based on data mining |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_02019.pdf |
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