Clinical application of artificial intelligence algorithm for prediction of one-year mortality in heart failure patients-Reference-Cited by-同舟云学术

Clinical application of artificial intelligence algorithm for prediction of one-year mortality in heart failure patients

Published:2023-02-20 Issue:6 Volume:38 Page:785-792
ISSN:0910-8327
Container-title:Heart and Vessels
language:en
Short-container-title:Heart Vessels

Author:

Takahama Hiroyuki,Nishimura Kunihiro,Ahsan Budrul,Hamatani Yasuhiro,Makino Yuichi,Nakagawa Shoko,Irie Yuki,Moriuchi Kenji,Amano Masashi,Okada Atsushi,Kitai Takeshi,Amaki Makoto,Kanzaki Hideaki,Noguchi Teruo,Kusano Kengo,Akao Masaharu,Yasuda Satoshi,Izumi Chisato

Funder

Japan Agency for Medical Research and Development

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00380-023-02237-w.pdf

Reference29 articles.

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3. Takahama H, Yokoyama H, Kada A, Sekiguchi K, Fujino M, Funada A, Amaki M, Hasegawa T, Asakura M, Kanzaki H, Anzai T, Kitakaze M (2013) Extent of heart rate reduction during hospitalization using beta-blockers, not the achieved heart rate itself at discharge, predicts the clinical outcome in patients with acute heart failure syndromes. J Cardiol 61:58–64

4. Fujino M, Takahama H, Hamasaki T, Sekiguchi K, Kusano K, Anzai T, Noguchi T, Goto Y, Kitakaze M, Yokoyama H, Ogawa H, Yasuda S (2016) Risk stratification based on nutritional screening on admission: three-year clinical outcomes in hospitalized patients with acute heart failure syndrome. J Cardiol 68:392–398

5. Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, Pitt B, Poole-Wilson PA, Mann DL, Packer M (2006) The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation 113:1424–1433

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