Machine learning of microvolt-level 12-lead electrocardiogram can help distinguish takotsubo syndrome and acute anterior myocardial infarction.

Shimizu, Masato; Suzuki, Makoto; Fujii, Hiroyuki; Kimura, Shigeki; Nishizaki, Mitsuhiro; Sasano, Tetsuo

Shimizu, Masato; Suzuki, Makoto; Fujii, Hiroyuki; Kimura, Shigeki; Nishizaki, Mitsuhiro; Sasano, Tetsuo.

Afiliação

Shimizu M; Department of Cardiology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.
Suzuki M; Department of Cardiology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.
Fujii H; Department of Cardiology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.
Kimura S; Department of Cardiology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.
Nishizaki M; Odawara Cardiovascular Hospital, Odawara, Japan.
Sasano T; Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.

Cardiovasc Digit Health J ; 3(4): 179-188, 2022 Aug.

Article em En | MEDLINE | ID: mdl-36046427

Palavras-chave

Acute anterior myocardial infarction; Electrocardiogram; Machine learning; SHAP method; Takotsubo syndrome

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Cardiovasc Digit Health J Ano de publicação: 2022 Tipo de documento: Article

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