An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions. | Annu Int Conf IEEE Eng Med Biol Soc;2021: 4432-4435, 2021 11. | MEDLINE

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An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions.

Liu, Xiaoqian; Vardhan, Madhurima; Wen, Qinrou; Das, Arpita; Randles, Amanda; Chi, Eric C.

Annu Int Conf IEEE Eng Med Biol Soc ; 2021: 4432-4435, 2021 11.

Article in En | MEDLINE | ID: mdl-34892203

Subject(s)

Coronary Artery Disease; Hemodynamics; Heart; Humans; Machine Learning; Stress, Mechanical

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Hemodynamics Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2021 Document type: Article Country of publication: United States

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Hemodynamics Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2021 Document type: Article Country of publication: United States