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The Topic Analysis of Hospice Care Research Using Co-word Analysis and GHSOM |
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| Author |
Yang, Yu-Hsiang (著)=楊喻翔 (au.)
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Huimin, Bhikkhu (著)=釋惠敏 (au.)
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Tsaih, Rua-Huan (著)=蔡瑞煌 (au.)
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| Source |
International Conference on Intelligent Computing and Information Science (ICICIS)
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| Date | 2011.01.08 - 09 |
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| Location | 重慶, 中國 [Chongqing, China] |
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| Content type | 會議論文=Proceeding Article |
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| Language | 英文=English |
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| Keyword | topic-map; co-word; GHSOM; hospice care; palliative care; terminal care |
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| Abstract | The purpose of this study was to propose a multi-layer topic map analysis of palliative care research using co-word analysis of informetrics with Growing Hierarchical Self-Organizing Map (GHSOM). The topic map illustrated the delicate intertwining of subject areas and provided a more explicit illustration of the concepts within each subject area. We applied GHSOM, a text-mining Neural Networks tool, to obtain a hierarchical topic map. The result of the topic map may indicate that the subject area of health care science and service played an importance role in multidiscipline within the research related to palliative care. |
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| Hits | 1137 |
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| Created date | 2014.12.17 |
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| Modified date | 2015.08.17 |
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