Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses.

Nose, Daisuke; Matsui, Tomokazu; Otsuka, Takuya; Matsuda, Yuki; Arimura, Tadaaki; Yasumoto, Keiichi; Sugimoto, Masahiro; Miura, Shin-Ichiro

Nose, Daisuke; Matsui, Tomokazu; Otsuka, Takuya; Matsuda, Yuki; Arimura, Tadaaki; Yasumoto, Keiichi; Sugimoto, Masahiro; Miura, Shin-Ichiro.

Afiliação

Nose D; Department of Cardiology, Fukuoka University Faculty of Medicine, Fukuoka 814-0180, Japan.
Matsui T; Department of Cardiology, Fukuoka Heartnet Hospital, Fukuoka 819-0002, Japan.
Otsuka T; Research Institute for Advanced Medical Development for Heart Failure, Fukuoka University, Fukuoka 814-0180, Japan.
Matsuda Y; Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 690-0101, Japan.
Arimura T; Technical Sales Department, Dialysis Division, Toray Medical Company Limited, Tokyo 103-0023, Japan.
Yasumoto K; Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 690-0101, Japan.
Sugimoto M; Department of Cardiology, Fukuoka University Faculty of Medicine, Fukuoka 814-0180, Japan.
Miura SI; Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 690-0101, Japan.

J Cardiovasc Dev Dis ; 10(7)2023 Jul 07.

Article em En | MEDLINE | ID: mdl-37504547

Palavras-chave

device; estimation system; heart failure; impedance; machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Cardiovasc Dev Dis Ano de publicação: 2023 Tipo de documento: Article

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