Machine Learning for Multi-Vessel Coronary Artery Disease Prediction on Electrocardiogram Gated Single-Photon Emission Computed Tomography.

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

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

Afiliación

Shimizu M; Department of Cardiology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.
Kimura S; Department of Cardiology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.
Fujii H; Department of Cardiology, Yokohama Minami Kyosai Hospital, Yokohama, Japan.
Suzuki M; 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.

Ann Nucl Cardiol ; 9(1): 11-18, 2023.

Article en En | MEDLINE | ID: mdl-38058573

Palabras clave

Machine learning; Max difference among segmental time of stroke volume per cardiac cycle; Multi-vessel coronary artery disease; SHapley Additive exPlanation method; Single-photon emission computed tomography

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ann Nucl Cardiol Año: 2023 Tipo del documento: Article País de afiliación: Japón

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