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| Research on prescription patterns of autism spectrum disorders based on 1 175 medical records and data mining of core traditional Chinese medicine |
| Hits 372 Download times 158 Received:June 10, 2025 |
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| DOI
10.11656/j.issn.1673-9043.2025.09.09 |
| Key Words
autism spectrum disorders;medicine rule;data mining;hierarchical clustering;phi correlation coefficient |
| Author Name | Affiliation | E-mail | | CHE Wenwen | College of Acupuncture and Massage, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | TAO Yawen | College of Acupuncture and Massage, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | GAO Feng | Xi'an Traditional Chinese Medicine Brain Disease Hospital, Xi'an 710032, China | | | JIAO Wentao | Xi'an Traditional Chinese Medicine Brain Disease Hospital, Xi'an 710032, China | | | ZHAO Ningxia | Xi'an Traditional Chinese Medicine Brain Disease Hospital, Xi'an 710032, China | | | GUO Yi | National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China | | | LIU Baoyan | Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China | liuby5505@139.com |
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| Abstract
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| Objective To explore and analyze the medication patterns of traditional Chinese medicine treatment for patients with autism spectrum disorder(ASD) through data mining and analysis of their medical records, in order to provide reference for optimizing clinical plans. Methods The data of traditional Chinese medicine prescriptions from 1 175 ASD patient medical records were extracted and a traditional Chinese medicine formula data table was established using Microsoft Excel 2019. Association rule analysis, cluster analysis, and visualization of core prescriptions were performed using R 4.3.3, SPSS Modeler 18.0, and Cytoscape. Results A total of 4 724 pairs of traditional Chinese medicine were collected, with a total frequency of medication of 66 381 times. All patients Chinese medicine prescriptions contain a total of 283 traditional Chinese medicines, including 28 frequently used medicines(≥700 times). The most commonly used medicines are: Polygala, Atractylodes macrocephala, Acorus calamus, Chenpi, and roasted licorice; The medicinal properties are mostly warm and cold; The commonly used drugs are tonifying deficiency medicine and clearing heat medicine; The medicinal taste is sweet and bitter, with the spleen and heart meridians being the main meridians; Common medicinal pairs include "Acorus tatarinowii Yuanzhi" and "Atractylodes macrocephala Yuanzhi"; The commonly used combination of horn medicine includes "Atractylodes macrocephala, Polygala tenuifolia, and Acorus calamus"; The clustering analysis results can classify high-frequency traditional Chinese medicine for treating ASD into 5 categories. Category 1:Licorice, Fructus Aurantii, Pinellia ternata, and Chenpi; Category 2:Dragon bones, oysters, white peonies, Chaihu, Guizhi, and Huangqin; Category 3:Schisandra chinensis, Poria cocos, sour jujube kernels, Acorus calamus, Polygala, Rehmannia glutinosa, Yizhi, roasted licorice; Category 4:Pseudoginseng, Ophiopogon japonicus, and Rehmannia glutinosa; Category 5:Angelica sinensis, Atractylodes macrocephala, Astragalus membranaceus, Liu Shen Qu, Codonopsis pilosula, Poria cocos, and yam. Conclusion Traditional Chinese medicine compound therapy for ASD mainly focuses on tonifying deficiency, starting from the spleen and heart meridians. The core traditional Chinese medicine is "Shichangpu Yuanzhi Chenpi Baizhu Zhilicorice Poria cocos". The treatment mainly focuses on strengthening the spleen and tonifying qi, resolving phlegm and opening the orifices, which can provide reference for the clinical treatment of ASD with traditional Chinese medicine. |
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