Natural language processing for adjudication of heart failure in a multicenter clinical trial

JAMA Cardiology

2023-11-11

(Press-News.org) About The Study: This secondary analysis of a randomized clinical trial validated a natural language processing model developed within a single healthcare system to identify heart failure hospitalizations. Further study is needed to determine whether natural language processing will improve the efficiency of future multicenter clinical trials by identifying clinical events at scale.

Authors: Scott D. Solomon, M.D., of Brigham and Women’s Hospital in Boston, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamacardio.2023.4859)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflicts of interest and financial disclosures, and funding and support.

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Media advisory: This study is being released to coincide with presentation at the American Heart Association’s Scientific Sessions 2023.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamacardiology/fullarticle/10.1001/jamacardio.2023.4859?guestAccessKey=a7ec6ea1-e5a5-402a-a1fd-cca28acc935a&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=111123

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Natural language processing for adjudication of heart failure in a multicenter clinical trial

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