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[Acupoint selection pattern of chronic atrophic gastritis based on data mining methods of latent structure model and frequency item set].
Zhongguo Zhen Jiu 2018; 38(6):667-71ZZ

Abstract

OBJECTIVE

To explore the acupoint selection pattern of chronic atrophic gastritis and provide reference for clinical treatment of chronic atrophic gastritis.

METHODS

The literature regarding acupuncture for chronic atrophic gastritis published before September 5th of 2016 was searched in the databases of CNKI, CBM, PubMed, etc. The information of symptoms and acupoint selection was extracted to establish medical database of chronic atrophic gastritis. The data mining methods of latent structure model and frequency item set were applied to analyze the acupoint selection pattern of chronic atrophic gastritis.

RESULTS

A total of 42 papers were collected in preliminary screening, and 32 papers were included, involving 604 medical cases. The data mining indicated 215 symptoms were involved in medical cases, including 16 high-frequency symptoms (stomach pain, stomach distension and hiccup, etc.), and the latent structure model of chronic atrophic gastritis symptoms was established. Fifty-two acupoints were identified, and high-frequency acupoints included Zusanli (ST 36), Zhongwan (CV 12), Neiguan (PC 6) and Weishu (BL 21), etc. Five frequency item sets of symptom-acupoint were identified, including stomach pain+stomach distension+Zusanli (ST 36)+Zhongwan (CV 12), etc. Six frequency item sets of symptom-syndrome-acupoint were identified, including stomach distension+dry mouth+dry defecation+insufficiency of stomach yin+Sanyinjiao (SP 6).

CONCLUSION

Acupuncture for chronic atrophic gastritis selected Zusanli (ST 36), Zhongwan (CV 12) and Neiguan (PC 6) as main acupoints, and selected other acupoints based on clinical symptoms. This could provide reference for clinical treatment of chronic atrophic gastritis.

Authors+Show Affiliations

College of Acupuncture-Moxibustion and Tuina, Hunan University of CM, Changsha 410208, China.DHC Software Co. Ltd.College of Acupuncture-Moxibustion and Tuina, Hunan University of CM, Changsha 410208, China.College of Acupuncture-Moxibustion and Tuina, Hunan University of CM, Changsha 410208, China.

Pub Type(s)

Journal Article

Language

chi

PubMed ID

29972013

Citation

Liu, Yu, et al. "[Acupoint Selection Pattern of Chronic Atrophic Gastritis Based On Data Mining Methods of Latent Structure Model and Frequency Item Set]." Zhongguo Zhen Jiu = Chinese Acupuncture & Moxibustion, vol. 38, no. 6, 2018, pp. 667-71.
Liu Y, Gong H, Liu J, et al. [Acupoint selection pattern of chronic atrophic gastritis based on data mining methods of latent structure model and frequency item set]. Zhongguo Zhen Jiu. 2018;38(6):667-71.
Liu, Y., Gong, H., Liu, J., & Zhang, H. (2018). [Acupoint selection pattern of chronic atrophic gastritis based on data mining methods of latent structure model and frequency item set]. Zhongguo Zhen Jiu = Chinese Acupuncture & Moxibustion, 38(6), pp. 667-71. doi:10.13703/j.0255-2930.2018.06.028.
Liu Y, et al. [Acupoint Selection Pattern of Chronic Atrophic Gastritis Based On Data Mining Methods of Latent Structure Model and Frequency Item Set]. Zhongguo Zhen Jiu. 2018 Jun 12;38(6):667-71. PubMed PMID: 29972013.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Acupoint selection pattern of chronic atrophic gastritis based on data mining methods of latent structure model and frequency item set]. AU - Liu,Yu, AU - Gong,Houwu, AU - Liu,Jiaqing, AU - Zhang,Hong, PY - 2018/7/5/entrez PY - 2018/7/5/pubmed PY - 2019/5/9/medline KW - acupoint selection rule KW - chronic atrophic gastritis KW - data mining KW - frequency item set KW - latent structure model KW - stomach pain SP - 667 EP - 71 JF - Zhongguo zhen jiu = Chinese acupuncture & moxibustion JO - Zhongguo Zhen Jiu VL - 38 IS - 6 N2 - OBJECTIVE: To explore the acupoint selection pattern of chronic atrophic gastritis and provide reference for clinical treatment of chronic atrophic gastritis. METHODS: The literature regarding acupuncture for chronic atrophic gastritis published before September 5th of 2016 was searched in the databases of CNKI, CBM, PubMed, etc. The information of symptoms and acupoint selection was extracted to establish medical database of chronic atrophic gastritis. The data mining methods of latent structure model and frequency item set were applied to analyze the acupoint selection pattern of chronic atrophic gastritis. RESULTS: A total of 42 papers were collected in preliminary screening, and 32 papers were included, involving 604 medical cases. The data mining indicated 215 symptoms were involved in medical cases, including 16 high-frequency symptoms (stomach pain, stomach distension and hiccup, etc.), and the latent structure model of chronic atrophic gastritis symptoms was established. Fifty-two acupoints were identified, and high-frequency acupoints included Zusanli (ST 36), Zhongwan (CV 12), Neiguan (PC 6) and Weishu (BL 21), etc. Five frequency item sets of symptom-acupoint were identified, including stomach pain+stomach distension+Zusanli (ST 36)+Zhongwan (CV 12), etc. Six frequency item sets of symptom-syndrome-acupoint were identified, including stomach distension+dry mouth+dry defecation+insufficiency of stomach yin+Sanyinjiao (SP 6). CONCLUSION: Acupuncture for chronic atrophic gastritis selected Zusanli (ST 36), Zhongwan (CV 12) and Neiguan (PC 6) as main acupoints, and selected other acupoints based on clinical symptoms. This could provide reference for clinical treatment of chronic atrophic gastritis. SN - 0255-2930 UR - https://www.unboundmedicine.com/medline/citation/29972013/[Acupoint_selection_pattern_of_chronic_atrophic_gastritis_based_on_data_mining_methods_of_latent_structure_model_and_frequency_item_set]_ DB - PRIME DP - Unbound Medicine ER -