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首页> 外文期刊>BMC Medical Informatics and Decision Making >AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas
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AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas

机译：amformulas：用于中医公式的智能检索系统

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摘要

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. 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. 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. 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.
机译：配方是中医（TCM）治疗疾病的重要手段，具有很大的研究意义。有许多公式数据库，但由于小规模数据和缺乏智能搜索引擎，有效地访问丰富的信息很难。我们从半结构化数据库中选择了38,000公式，然后分段文本，提取信息和标准化术语。之后，我们通过计算公式的煎剂片的重量，基于本体和智能检索发动机构建了结构化公式数据库。基于结构的数据库，本体和智能检索发动机构建了名为Amformulas（意味着古代和现代公式系统）的智能检索系统，实现了公式和煎剂片的检索和统计分析。 Amformulas是一个大型智能检索系统，包括大量的公式数据，高效信息提取系统和搜索引擎。 Amformulas可以为用户提供有效的检索和全面的数据支持。与此同时，该系统的统计分析可以启发科研思想和支持专利审查以及新的药物研究和发展。

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