A Preliminary Study on the Usage of a Data-Driven Probabilistic Approach to Predict Valve Performance Under Different Physiological Conditions.

Vogl, Brennan J; Darestani, Yousef M; Crestanello, Juan A; Lindman, Brian R; Alkhouli, Mohamad A; Hatoum, Hoda

Vogl, Brennan J; Darestani, Yousef M; Crestanello, Juan A; Lindman, Brian R; Alkhouli, Mohamad A; Hatoum, Hoda.

Affiliation

Vogl BJ; Biomedical Engineering Department, Michigan Technological University, Houghton, MI, USA.
Darestani YM; Department of Civil, Environmental and Geospatial Engineering, Michigan Technological University, Houghton, MI, USA.
Crestanello JA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Lindman BR; Structural Heart and Valve Center, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Alkhouli MA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Hatoum H; Biomedical Engineering Department, Michigan Technological University, Houghton, MI, USA. hhatoum@mtu.edu.

Ann Biomed Eng ; 50(8): 941-950, 2022 Aug.

Article de En | MEDLINE | ID: mdl-35471674

Sujet(s)
Mots clés

Aortic valve replacement; Logistic regression; Predictive modeling; Surgical aortic valves; Transcatheter aortic valves

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Sténose aortique / Prothèse valvulaire cardiaque / Remplacement valvulaire aortique par cathéter Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Ann Biomed Eng Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

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