Graph clustering system for text-based records in a clinical pathway

Takanori Yamashita, Naoya Onimura, Hidehisa Soejima, Naoki Nakashima, Sachio Hirokawa

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

The progressive digitization of medical records has resulted in the accumulation of large amounts of data. Electronic medical data include structured numerical data and unstructured text data. Although text-based medical record processing has been researched, few studies contribute to medical practice. The analysis of unstructured text data can improve medical processes. Hence, this study presents a clustering approach for detecting typical patient's condition from text-based medical record of clinical pathway. In this approach, the sentences in a cluster are merged to generate a "sentence graph" of the cluster after classified feature word by Louvain method. An analysis of real text-based medical records indicates that sentence graphs can represent the medical treatment and patient's condition in a medical process. This method could help the standardization of text-based medical records and the recognition of feature medical processes for improving medical treatment.

元の言語英語
ホスト出版物のタイトルMEDINFO 2017
ホスト出版物のサブタイトルPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
編集者Zhao Dongsheng, Adi V. Gundlapalli, Jaulent Marie-Christine
出版者IOS Press
ページ649-652
ページ数4
ISBN(電子版)9781614998297
DOI
出版物ステータス出版済み - 1 1 2017
イベント16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, 中国
継続期間: 8 21 20178 25 2017

出版物シリーズ

名前Studies in Health Technology and Informatics
245
ISSN(印刷物)0926-9630
ISSN(電子版)1879-8365

その他

その他16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
中国
Hangzhou
期間8/21/178/25/17

Fingerprint

Electronic medical equipment
Critical Pathways
Analog to digital conversion
Standardization
Medical Records
Cluster Analysis
Processing
Medical Electronics
Therapeutics

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

これを引用

Yamashita, T., Onimura, N., Soejima, H., Nakashima, N., & Hirokawa, S. (2017). Graph clustering system for text-based records in a clinical pathway. : Z. Dongsheng, A. V. Gundlapalli, & J. Marie-Christine (版), MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (pp. 649-652). (Studies in Health Technology and Informatics; 巻数 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-649

Graph clustering system for text-based records in a clinical pathway. / Yamashita, Takanori; Onimura, Naoya; Soejima, Hidehisa; Nakashima, Naoki; Hirokawa, Sachio.

MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. 版 / Zhao Dongsheng; Adi V. Gundlapalli; Jaulent Marie-Christine. IOS Press, 2017. p. 649-652 (Studies in Health Technology and Informatics; 巻 245).

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, Onimura, N, Soejima, H, Nakashima, N & Hirokawa, S 2017, Graph clustering system for text-based records in a clinical pathway. : Z Dongsheng, AV Gundlapalli & J Marie-Christine (版), MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, 巻. 245, IOS Press, pp. 649-652, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, 中国, 8/21/17. https://doi.org/10.3233/978-1-61499-830-3-649
Yamashita T, Onimura N, Soejima H, Nakashima N, Hirokawa S. Graph clustering system for text-based records in a clinical pathway. : Dongsheng Z, Gundlapalli AV, Marie-Christine J, 編集者, MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press. 2017. p. 649-652. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-830-3-649
Yamashita, Takanori ; Onimura, Naoya ; Soejima, Hidehisa ; Nakashima, Naoki ; Hirokawa, Sachio. / Graph clustering system for text-based records in a clinical pathway. MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. 編集者 / Zhao Dongsheng ; Adi V. Gundlapalli ; Jaulent Marie-Christine. IOS Press, 2017. pp. 649-652 (Studies in Health Technology and Informatics).
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