| Title: | A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells |
| Author: | Hu ZY(胡正银)1 ; Ceng RQ(曾荣强)1,2; Tan XC(覃筱楚)3; Wei L(隗玲)1; Zhang ZQ(张志强)1
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| Issued Date: | 2018-07
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| Conference Name: | 14th International Conference on Machine Learning and Data Mining MLDM 2018
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| Conference Date: | July 15-19, 2018
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| Conference Place: | New York, NY, USA
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| Keyword: | Biomedical knowledge discovery
; SPO
; Induced pluripotent stem cells
; Semantic relation network
; Community detection
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| Subject: | 图书馆、情报与文献学::情报学::情报技术
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| DOI: | https://doi.org/10.1007/978-3-319-96133-0_29
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| English Abstract: | A large amount of valuable knowledge is hidden in the vast biomedical literatures, publications, and online contents. In order to identify the previously unknown biomedical knowledge from these resources, we propose a new method of knowledge discovery based on SPO predications, which constructs a three-level SPO-semantic relation network in the considered area. We carry out the experiments in the area of induced pluripotent stem cells, and the experimental results indicate that our proposed method can significantly discover the potential biomedical knowledge in this area, and the performance analysis of this method sheds lights on the ways to further improvements. |
| Indexed Type: | EI
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| Related URLs: | 查看原文
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| Source: | Machine Learning and Data Mining in Pattern Recognition. MLDM 2018
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| Publisher: | Springer, Cham
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| Language: | 英语
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| Citation statistics: |
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| Content Type: | 会议论文
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| URI: | http://ir.las.ac.cn/handle/12502/9796
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| Appears in Collections: | 中国科学院成都文献情报中心_信息技术部_会议论文
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| Chapter_AMethodOfBiomedicalKnowledgeDi.pdf（5042KB） | 会议论文 | -- | 开放获取 | | View
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description.institution: | 1.中国科学院成都文献情报中心
2.西南交通大学
3.中国科学院广州生物医药与健康研究院
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| Recommended Citation: | |
Hu ZY,Ceng RQ,Tan XC,et al. A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells[C]. 见:14th International Conference on Machine Learning and Data Mining MLDM 2018. New York, NY, USA. July 15-19, 2018.http://www.mldm.de/.
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