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Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning.
Zhou, Xue; Nakamura, Keijiro; Sahara, Naohiko; Asami, Masako; Toyoda, Yasutake; Enomoto, Yoshinari; Hara, Hidehiko; Noro, Mahito; Sugi, Kaoru; Moroi, Masao; Nakamura, Masato; Huang, Ming; Zhu, Xin.
Afiliação
  • Zhou X; Biomedical Information Engineering Lab, The University of Aizu, Aizuwakamatsu 965-8580, Japan.
  • Nakamura K; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Sahara N; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Asami M; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Toyoda Y; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Enomoto Y; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Hara H; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Noro M; Division of Cardiovascular Medicine, Odawara Cardiovascular Hospital, Odawara 250-0873, Japan.
  • Sugi K; Division of Cardiovascular Medicine, Odawara Cardiovascular Hospital, Odawara 250-0873, Japan.
  • Moroi M; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Nakamura M; Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo 153-8515, Japan.
  • Huang M; Division of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.
  • Zhu X; Biomedical Information Engineering Lab, The University of Aizu, Aizuwakamatsu 965-8580, Japan.
Life (Basel) ; 12(6)2022 May 24.
Article em En | MEDLINE | ID: mdl-35743806
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article