摘要
以「乳房重建」的主題搜尋近兩年的PubMed文獻得到496篇文章。線上的叢集分析把這些檢索結果歸類成三十幾個小分群，其中九個較大的分群包括「皮膚保留手術」，「組織擴張器」，「DIEP皮瓣」，「乳頭重建」，「擴背肌」，「穿透支皮瓣」，及「TRAM皮瓣」等常見的次主題。我們繼續探索部分次主題之知識結構，並描述「中國婦女」這群文章的新發現。
| 原文 | 英語 |
|---|---|
| 頁（從 - 到） | 303-315 |
| 頁數 | 13 |
| 期刊 | 中華民國整形外科醫學會雜誌 |
| 卷 | 14 |
| 發行號 | 4 |
| 出版狀態 | 已發佈 - 2005 |
指紋
Keywords
- information retrieval IR
- meta-search engine
- cluster analysis
- data mining
- knowledge discovery
- breast reconstruction
引用此文
Exploring the Knowledge Structure of "Breast Reconstruction"-Evidence-based Plastic Surgery by Online Cluster Analysis of Literature. / Yen, Yu-Hsiu ; Yang, Yi-Chih ; Chiang, I-Jen; Wong, Jau-Min ; Wu, Jui-Hsing ; Liu, Chih-Ho .
於: 中華民國整形外科醫學會雜誌, 卷 14, 編號 4, 2005, p. 303-315.研究成果: 雜誌貢獻 › 文章
}
TY - JOUR
T1 - Exploring the Knowledge Structure of "Breast Reconstruction"-Evidence-based Plastic Surgery by Online Cluster Analysis of Literature
AU - Yen, Yu-Hsiu
AU - Yang, Yi-Chih
AU - Chiang, I-Jen
AU - Wong, Jau-Min
AU - Wu, Jui-Hsing
AU - Liu, Chih-Ho
PY - 2005
Y1 - 2005
N2 - We present the application of ”meta-search engine” in evidence-based medicine (EBM) by online cluster analysis of PubMed literature. The methodology would be especially beneficial to ”evidence-based plastic surgery”. In addition to the initial aim of splitting the diverse documents into organized relevant and homogeneous document groups (clusters), knowledge discovery of new or neglected sub-topics and selection of key phrases based on information technology are stressed.PubMed query on ”breast reconstruction” in the recent 2 years yielded 496 articles, which was processed by the online tool. Nine larger clusters comprise of about 70% of the literature, which is ”skin-sparing”, ”tissue expander”, ”DIEP flap”, ”nipple”, ”latissimus dorsi”, ”perforator flap”, ”TRAM flap”, and ”internal mammary vessels”. The details of the knowledge structure were further explored, and a new finding of the ”Chinese women” cluster was described.
AB - We present the application of ”meta-search engine” in evidence-based medicine (EBM) by online cluster analysis of PubMed literature. The methodology would be especially beneficial to ”evidence-based plastic surgery”. In addition to the initial aim of splitting the diverse documents into organized relevant and homogeneous document groups (clusters), knowledge discovery of new or neglected sub-topics and selection of key phrases based on information technology are stressed.PubMed query on ”breast reconstruction” in the recent 2 years yielded 496 articles, which was processed by the online tool. Nine larger clusters comprise of about 70% of the literature, which is ”skin-sparing”, ”tissue expander”, ”DIEP flap”, ”nipple”, ”latissimus dorsi”, ”perforator flap”, ”TRAM flap”, and ”internal mammary vessels”. The details of the knowledge structure were further explored, and a new finding of the ”Chinese women” cluster was described.
KW - information retrieval IR
KW - meta-search engine
KW - cluster analysis
KW - data mining
KW - knowledge discovery
KW - breast reconstruction
KW - information retrieval IR
KW - meta-search engine
KW - cluster analysis
KW - data mining
KW - knowledge discovery
KW - breast reconstruction
M3 - Article
VL - 14
SP - 303
EP - 315
JO - 中華民國整形外科醫學會雜誌
JF - 中華民國整形外科醫學會雜誌
SN - 1025-1375
IS - 4
ER -