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Comorbid conditions in heart failure: an unhappy marriage.

作者信息

Mehra Mandeep R, Butler Javed

机构信息

BWH Heart and Vascular Center and Harvard Medical School, Brigham and Womens Hospital, 75 Francis Street, A Building, 3rd Floor, Room AB324, Boston, MA 02115, USA.

Heart Failure Research, Emory Clinical Cardiovascular Research Institute, Emory University, 1462 Clifton Road Northeast, Suite 504, Atlanta, GA 30322, USA.

出版信息

Heart Fail Clin. 2014 Apr;10(2):ix. doi: 10.1016/j.hfc.2014.02.001.

DOI:10.1016/j.hfc.2014.02.001
PMID:24656113
Abstract
摘要

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引用本文的文献

1
Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.机器学习方法可改善预后,识别具有临床特征的不同表型,并检测心力衰竭患者大队列中对治疗的反应异质性。
J Am Heart Assoc. 2018 Apr 12;7(8):e008081. doi: 10.1161/JAHA.117.008081.
2
Clinical Implications of Cluster Analysis-Based Classification of Acute Decompensated Heart Failure and Correlation with Bedside Hemodynamic Profiles.基于聚类分析的急性失代偿性心力衰竭分类的临床意义及其与床边血流动力学参数的相关性
PLoS One. 2016 Feb 3;11(2):e0145881. doi: 10.1371/journal.pone.0145881. eCollection 2016.