Predicting 1 year readmission for heart failure: A comparative study of machine learning and the LACE index

Abstract Aims There is a lack of tools for accurately identifying the risk of readmission for heart failure in elderly patients with arrhythmia. The aim of this study was to establish and compare the performance of the LACE [length of stay (‘L’), acute (emergent) admission (‘A’), Charlson comorbidit...

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Bibliographic Details
Published in:	ESC Heart Failure
Main Authors:	Xuewu Song, Yitong Tong, Feng Xian, Yi Luo, Rongsheng Tong
Format:	Article
Language:	English
Published:	Wiley 2024-10-01
Subjects:	elderly heart failure LACE index machine learning readmission
Online Access:	https://doi.org/10.1002/ehf2.14855

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