Machine Learning for Making Aortic Valve Interventions Complementary and Not Competitive

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Francesco Pollari et al. JACC Cardiovasc Interv. 2019.

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. 2019 Oct 28;12(20):2112.

doi: 10.1016/j.jcin.2019.08.016.

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Reply: Leveraging Machine Learning to Generate Prediction Models for Structural Valve Interventions.
Hernandez-Suarez DF, Villablanca PA, Kim Y, Wiley J, Sanina C, Roche-Lima A. Hernandez-Suarez DF, et al. JACC Cardiovasc Interv. 2019 Oct 28;12(20):2113-2114. doi: 10.1016/j.jcin.2019.09.001. JACC Cardiovasc Interv. 2019. PMID: 31648770 Free PMC article. No abstract available.

Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.
Hernandez-Suarez DF, Kim Y, Villablanca P, Gupta T, Wiley J, Nieves-Rodriguez BG, Rodriguez-Maldonado J, Feliu Maldonado R, da Luz Sant'Ana I, Sanina C, Cox-Alomar P, Ramakrishna H, Lopez-Candales A, O'Neill WW, Pinto DS, Latib A, Roche-Lima A. Hernandez-Suarez DF, et al. JACC Cardiovasc Interv. 2019 Jul 22;12(14):1328-1338. doi: 10.1016/j.jcin.2019.06.013. JACC Cardiovasc Interv. 2019. PMID: 31320027 Free PMC article.