| 用文本挖掘方法发现药物的副作用 |
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| 引用本文： | 隋明爽,崔雷.用文本挖掘方法发现药物的副作用[J].中华医学图书情报杂志,2015,24(11):67-72. |
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| 作者姓名： | 隋明爽 崔雷 |
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| 作者单位： | 中国医科大学医学信息学院，辽宁 沈阳110000,中国医科大学医学信息学院，辽宁 沈阳110000 |
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| 摘 要： | 分析了用文本挖掘方法探测药物副作用的必要性及可行性，从挖掘流程、挖掘/提取方法、结果评价和现有工具软件4个方面总结了用文本挖掘技术提取药物副作用的研究现状及尚未解决的问题和未来发展趋势。
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| 关 键 词： | 文本挖掘 实体识别 药物副作用 自然语言处理 机器学习 |
| 收稿时间： | 2015/8/21 0:00:00 |
Detection of drug adverse effects by text-mining |
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| SUI Ming-shuang and CUI Lei.Detection of drug adverse effects by text-mining[J].Chinese Journal of Medical Library and Information Science,2015,24(11):67-72. |
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| Authors: | SUI Ming-shuang and CUI Lei |
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| Institution: | China Medical University Medical Informatics School, Shenyang, Liaoning Province, China 110000 and China Medical University Medical Informatics School, Shenyang, Liaoning Province, China 110000 |
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| Abstract: | After the necessity and feasibility to detect drug adverse effects by text-mining were analyzed, the current researches on detection drug adverse effects by text-mining, unsolved problems and future development were summarized in aspects of text-mining process, text mining/detecting methods, results assessment, and current tool software. |
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| Keywords: | Text-mining Entity recognition Drug adverse effects Natural language processing Machine learning |
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