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Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis.

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Title: Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis.
Authors: Zhang, Nanxiang1, Pan, Qi1,2, Yang, Shuo1,3, Huang, Leen1, Yin, Jianan1, Lin, Hai2, Huang, Xiang3, Ding, Chonglong1, Zou, Xinyan1, Zheng, Yongjun3, Zhang, Jinxin1
Source: Biosensors (2079-6374); Jul2025, Vol. 15 Issue 7, p442, 16p
Database: Applied Science & Technology Source
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  Data: Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale Entropy Analysis.
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  Data: <searchLink fieldCode="JN" term="%22Biosensors+%282079-6374%29%22">Biosensors (2079-6374)</searchLink>; Jul2025, Vol. 15 Issue 7, p442, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186926532
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              Text: Jul2025
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