Extracting predictive indicator for prognosis of cerebral infarction using machine learning techniques

Yasunobu Nohara, Koutarou Matsumoto, Naoki Nakashima

研究成果: 著書/レポートタイプへの貢献会議での発言

抄録

Identifying important predicative indicators for prognosis is useful since these factors help for understanding diseases and determining treatments for patients. We extracted important factors for prognosis of cerebral infarction from EHR. We analyzed EHR data of 1,697 patients with 1,602 variables using gradient boosting decision tree. Extracted factors include not only well-known factors such as NIHSS but also new factors such as albumin-globulin ratio.

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
ページ数1
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

Cerebral Infarction
Decision trees
Learning systems
Decision Trees
Globulins
Albumins
Machine Learning
Therapeutics

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

これを引用

Nohara, Y., Matsumoto, K., & Nakashima, N. (2017). Extracting predictive indicator for prognosis of cerebral infarction using machine learning techniques. : 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 (Studies in Health Technology and Informatics; 巻数 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-1280

Extracting predictive indicator for prognosis of cerebral infarction using machine learning techniques. / Nohara, Yasunobu; Matsumoto, Koutarou; Nakashima, Naoki.

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. (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

Nohara, Y, Matsumoto, K & Nakashima, N 2017, Extracting predictive indicator for prognosis of cerebral infarction using machine learning techniques. : 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, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, 中国, 8/21/17. https://doi.org/10.3233/978-1-61499-830-3-1280
Nohara Y, Matsumoto K, Nakashima N. Extracting predictive indicator for prognosis of cerebral infarction using machine learning techniques. : 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. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-830-3-1280
Nohara, Yasunobu ; Matsumoto, Koutarou ; Nakashima, Naoki. / Extracting predictive indicator for prognosis of cerebral infarction using machine learning techniques. 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. (Studies in Health Technology and Informatics).
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