<p>Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on improving cardiovascular disease prediction with machine learning using UK Biobank mental health data.</p>

Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances discusses a recently published original research paper on improving cardiovascular disease prediction with machine learning using UK Biobank mental health data.

JACC: Advances - Improving Cardiovascular Disease Prediction With Machine Learning Using Mental Health Data: A Prospective UK Biobank Study

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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JACC: Advances - Improving Cardiovascular Disease Prediction With Machine Learning Using Mental Health Data: A Prospective UK Biobank Study

JACC: Advances - Improving Cardiovascular Disease Prediction With Machine Learning Using Mental Health Data: A Prospective UK Biobank Study

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