@article{231a970031e04265bff6647d2da609f0,
title = "Exploring the Knowledge Structure of {"}Breast Reconstruction{"}-Evidence-based Plastic Surgery by Online Cluster Analysis of Literature",
abstract = "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.",
keywords = "information retrieval IR, meta-search engine, cluster analysis, data mining, knowledge discovery, breast reconstruction, information retrieval IR , meta-search engine , cluster analysis, data mining, knowledge discovery , breast reconstruction",
author = "Yu-Hsiu Yen and Yi-Chih Yang and I-Jen Chiang and Jau-Min Wong and Jui-Hsing Wu and Chih-Ho Liu",
year = "2005",
language = "English",
volume = "14",
pages = "303--315",
journal = "中華民國整形外科醫學會雜誌",
issn = "1025-1375",
publisher = "中華民國整形外科醫學會",
number = "4",
}