Classification and feature extraction for text-based drug incident report

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

Medical institutions have been constructed incident report system, then accumulating incident data. Incident data compose text-based data and some structured attributes. We considered based on the analysis result with clustering for drug incident report. Firstly, we generated a network of documents and words from the text-based data. Secondly, Louvain method was applied to the network and 11 clusters were generated. We confirmed the contents of each cluster from feature words extracted by TF-IDF. Then, we compare clusters of text-based data with structured attributes and grasp the trend of the incident. This proposed method showed the possibility of clinical support toward reduction incident from text-based data.

本文言語英語
ホスト出版物のタイトルProceedings of 2018 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018
出版社Association for Computing Machinery
ページ145-149
ページ数5
ISBN(電子版)9781450363488
DOI
出版ステータス出版済み - 3 12 2018
イベント6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018 - Chengdu, 中国
継続期間: 3 12 20183 14 2018

出版物シリーズ

名前ACM International Conference Proceeding Series

その他

その他6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018
国/地域中国
CityChengdu
Period3/12/183/14/18

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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