Classification and feature extraction for text-based drug incident report

研究成果: 著書/レポートタイプへの貢献会議での発言

1 引用 (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.

元の言語英語
ホスト出版物のタイトルProceedings of 2018 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018
出版者Association for Computing Machinery
ページ145-149
ページ数5
ISBN(電子版)9781450363488
DOI
出版物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
中国
Chengdu
期間3/12/183/14/18

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Feature extraction

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

これを引用

Yamashita, T., Nakashima, N., & Hirokawa, S. (2018). Classification and feature extraction for text-based drug incident report. : Proceedings of 2018 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018 (pp. 145-149). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3194480.3194499

Classification and feature extraction for text-based drug incident report. / Yamashita, Takanori; Nakashima, Naoki; Hirokawa, Sachio.

Proceedings of 2018 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018. Association for Computing Machinery, 2018. p. 145-149 (ACM International Conference Proceeding Series).

研究成果: 著書/レポートタイプへの貢献会議での発言

Yamashita, T, Nakashima, N & Hirokawa, S 2018, Classification and feature extraction for text-based drug incident report. : Proceedings of 2018 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 145-149, 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018, Chengdu, 中国, 3/12/18. https://doi.org/10.1145/3194480.3194499
Yamashita T, Nakashima N, Hirokawa S. Classification and feature extraction for text-based drug incident report. : Proceedings of 2018 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018. Association for Computing Machinery. 2018. p. 145-149. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3194480.3194499
Yamashita, Takanori ; Nakashima, Naoki ; Hirokawa, Sachio. / Classification and feature extraction for text-based drug incident report. Proceedings of 2018 6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018. Association for Computing Machinery, 2018. pp. 145-149 (ACM International Conference Proceeding Series).
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