Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data

Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data

Stroke volume (SV) is a major indicator of cardiovascular function, providing essential information about heart performance and blood flow adequacy. Accurate SV measurement is particularly important for assessing patients with heart failure, managing patients undergoing major surgeries, and deliveri...

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Bibliographic Details
Main Authors: Vasiliki (Vicky) Bikia, Dionysios Adamopoulos, Marco Roffi, Georgios Rovas, Stéphane Noble, François Mach, Nikolaos Stergiopulos
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Artificial Intelligence
Subjects:
cardiac output
non-invasive monitoring
hemodynamics
blood pressure
supervised learning
gradient boosting
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1530453/full
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https://www.frontiersin.org/articles/10.3389/frai.2025.1530453/full

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