Deep learning prediction of survival in patients with heart failure using chest radiographs
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10554-024-03177-w.pdf
Reference28 articles.
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3. Aimo A, Castiglione V, Lombardi CM (2020) Effects of vericiguat in heart failure with reduced ejection fraction: do not forget sST2. Letter regarding the article “Baseline features of the VICTORIA (vericiguat global study in subjects with heart failure with reduced ejection fraction) trial.” Eur J Heart Fail 22(10):1934–1935
4. Pocock SJ, Ariti CA, McMurray JJ et al (2013) Meta-analysis global group in chronic heart F. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J 34:1404–1413
5. Heidenreich PA, Bozkurt B, Aguilar D et al (2022) 2022 ACC/AHA/HFSA guideline for the management of heart failure. J Cardiac Fail 28(5):e1–e167
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