Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study

Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study

BackgroundAccumulation of excess body fluid and autonomic dysregulation are clinically important characteristics of acute decompensated heart failure. We hypothesized that transthoracic bioimpedance, a noninvasive, simple method for measuring fluid retention in lungs, and hea...

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Bibliographic Details
Main Authors: Reljin, Natasa, Posada-Quintero, Hugo F, Eaton-Robb, Caitlin, Binici, Sophia, Ensom, Emily, Ding, Eric, Hayes, Anna, Riistama, Jarno, Darling, Chad, McManus, David, Chon, Ki H
Format: Article
Language:English
Published: JMIR Publications 2020-08-01
Series:JMIR Medical Informatics
Online Access:http://medinform.jmir.org/2020/8/e18715/

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http://medinform.jmir.org/2020/8/e18715/

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