<p>Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances, discusses a recently published original research paper on Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm.</p>

Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances, discusses a recently published original research paper on Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm.

Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm | JACC: Advances

In this podcast series, editors-in-chief from the JACC family of specialty journals provide highlights and summarize key findings for select issues. Published by the American College of Cardiology, the JACC Journals publish peer-reviewed articles on all aspects of cardiovascular disease, including original clinical studies, translational investigations with clear clinical relevance, state-of-the art papers, and review articles. They are top ranked for impact factor and their manuscripts are among the most covered by media outlets, most talked about on social media, and most read online.

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Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm | JACC: Advances

Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm | JACC: Advances

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