The development of an electronic phenotyping algorithm for identifying rhabdomyolysis patients in the Mid-NEt database

Rieko Izukura, Tadashi Kandabashi, Yoshifumi Wakata, Chinatsu Nojiri, Yasunobu Nohara, Takanori Yamashita, Atsushi Takada, Jinsang Park, Yoshiaki Uyama, 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

We aimed to develop rhabdomyolysis (RB) phenotyping algorithms using machine learning techniques and to create subphenotyping algorithms to identify RB patients who lack RB diagnosis. Two pattern algorithms, one with a focus on improving predictive value and one focused on improving sensitivity, were finally created and had a high area under the curve value of 0.846. Although we were unable to create subphenotyping algorithms, an attempt to detect unknown RB patients is important for epidemiological studies.

元の言語英語
ホスト出版物のタイトルMEDINFO 2019
ホスト出版物のサブタイトルHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
編集者Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
出版者IOS Press
ページ1498-1499
ページ数2
ISBN(電子版)9781643680026
DOI
出版物ステータス出版済み - 8 21 2019
イベント17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, フランス
継続期間: 8 25 20198 30 2019

出版物シリーズ

名前Studies in Health Technology and Informatics
264
ISSN(印刷物)0926-9630
ISSN(電子版)1879-8365

会議

会議17th World Congress on Medical and Health Informatics, MEDINFO 2019
フランス
Lyon
期間8/25/198/30/19

Fingerprint

Rhabdomyolysis
Databases
Area Under Curve
Learning systems
Epidemiologic Studies

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

これを引用

Izukura, R., Kandabashi, T., Wakata, Y., Nojiri, C., Nohara, Y., Yamashita, T., ... Nakashima, N. (2019). The development of an electronic phenotyping algorithm for identifying rhabdomyolysis patients in the Mid-NEt database. : B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (版), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1498-1499). (Studies in Health Technology and Informatics; 巻数 264). IOS Press. https://doi.org/10.3233/SHTI190503

The development of an electronic phenotyping algorithm for identifying rhabdomyolysis patients in the Mid-NEt database. / Izukura, Rieko; Kandabashi, Tadashi; Wakata, Yoshifumi; Nojiri, Chinatsu; Nohara, Yasunobu; Yamashita, Takanori; Takada, Atsushi; Park, Jinsang; Uyama, Yoshiaki; Nakashima, Naoki.

MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. 版 / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1498-1499 (Studies in Health Technology and Informatics; 巻 264).

研究成果: 著書/レポートタイプへの貢献会議での発言

Izukura, R, Kandabashi, T, Wakata, Y, Nojiri, C, Nohara, Y, Yamashita, T, Takada, A, Park, J, Uyama, Y & Nakashima, N 2019, The development of an electronic phenotyping algorithm for identifying rhabdomyolysis patients in the Mid-NEt database. : B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (版), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, 巻. 264, IOS Press, pp. 1498-1499, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, フランス, 8/25/19. https://doi.org/10.3233/SHTI190503
Izukura R, Kandabashi T, Wakata Y, Nojiri C, Nohara Y, Yamashita T その他. The development of an electronic phenotyping algorithm for identifying rhabdomyolysis patients in the Mid-NEt database. : Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, 編集者, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1498-1499. (Studies in Health Technology and Informatics). https://doi.org/10.3233/SHTI190503
Izukura, Rieko ; Kandabashi, Tadashi ; Wakata, Yoshifumi ; Nojiri, Chinatsu ; Nohara, Yasunobu ; Yamashita, Takanori ; Takada, Atsushi ; Park, Jinsang ; Uyama, Yoshiaki ; Nakashima, Naoki. / The development of an electronic phenotyping algorithm for identifying rhabdomyolysis patients in the Mid-NEt database. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. 編集者 / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1498-1499 (Studies in Health Technology and Informatics).
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