AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas

被引：6
作者：
Cui, Yidi [1 ,2 ,3 ]
Gao, Bo [3 ]
Liu, Lihong [3 ]
Liu, Jing [3 ]
Zhu, Yan [3 ]
机构：
[1] Zhejiang Acad Tradit Chinese Med, Hangzhou 310007, Zhejiang, Peoples R China
[2] Tongde Hosp Zhejiang Prov, Hangzhou 310007, Zhejiang, Peoples R China
[3] China Acad Chinese Med Sci, Inst Informat Tradit Chinese Med, Beijing 100700, Peoples R China
来源：
BMC MEDICAL INFORMATICS AND DECISION MAKING | 2021年 / 21卷 / SUPPL 2期
基金：
北京市自然科学基金; 国家重点研发计划;
关键词：
Traditional chinese medicine; Formula; Database; Retrieval system;
D O I：
10.1186/s12911-021-01419-8
中图分类号：
R-058 [];
学科分类号：
摘要：
Background Formula is an important means of traditional Chinese medicine (TCM) to treat diseases and has great research significance. There are many formula databases, but accessing rich information efficiently is difficult due to the small-scale data and lack of intelligent search engine. Methods We selected 38,000 formulas from a semi-structured database, and then segmented text, extracted information, and standardized terms. After that, we constructed a structured formula database based on ontology and an intelligent retrieval engine by calculating the weight of decoction pieces of formulas. Results The intelligent retrieval system named AMFormulaS (means Ancient and Modern Formula system) was constructed based on the structured database, ontology, and intelligent retrieval engine, so the retrieval and statistical analysis of formulas and decoction pieces were realized. Conclusions AMFormulaS is a large-scale intelligent retrieval system which includes a mass of formula data, efficient information extraction system and search engine. AMFormulaS could provide users with efficient retrieval and comprehensive data support. At the same time, the statistical analysis of the system can enlighten scientific research ideas and support patent review as well as new drug research and development.
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页数：13
相关论文
共 28 条
[11]   Capsules Based Chinese Word Segmentation for Ancient Chinese Medical Books [J].
Li, Si ;
Li, Mingzheng ;
Xu, Yajing ;
Bao, Zuyi ;
Fu, Lu ;
Zhu, Yan .
IEEE ACCESS, 2018, 6 :70874-70883
[12]  
Li YuHang Li YuHang, 2009, China Journal of Traditional Chinese Medicine and Pharmacy, V24, P117
[13]  
Liu L., 2016, CHINA DIG MED, V11, P90
[14]  
Liu L., 2015, CHINA DIG MED, V10, P70
[15]  
Liu L., 2017, World Chin. Med., V12, P936
[16]  
Liu S., 2016, STUDY HIST TRACK CLI
[17]  
Nanjing Medical University, 1977, DICT TRAD CHIN MED
[18]  
National standard of the people's Republic of China, 1992, GBT1371592 NATL STAN
[19]  
National standard of the people's Republic of China, 1991, GB12200190 NATL STAN
[20]  
Pei Miaorong, 2009, Zhongguo Zhong Yao Za Zhi, V34, P1989
123