Artificial Intelligence methods for Improved Detection of undiagnosed Heart Failure with Preserved Ejection Fraction (HFpEF)

ConclusionsThis study demonstrates that patients with undiagnosed HFpEF are an at-risk group with high mortality. It is possible to use NLP methods to identify likely HFpEF patients from EHR data who would likely then benefit from expert clinical review and complement the use of diagnostic algorithms.This article is protected by copyright. All rights reserved.

Source: European Journal of Heart Failure - December 28, 2023 Category: Cardiology Authors: Jack Wu, Dhruva Biswas, Matthew Ryan, Brett Bernstein, Maleeha Rizvi, Natalie Fairhurst, George Kaye, Ranu Baral, Tom Searle, Narbeh Melikian, Daniel Sado, Thomas F L üscher, Richard Grocott‐Mason, Gerald Carr‐White, James Teo, Richard Tags: Research Article Source Type: research