Early prediction of hemodynamic interventions in the intensive care unit using machine learning

Abstract Background Timely recognition of hemodynamic instability in critically ill patients enables increased vigilance and early treatment opportunities. We develop the Hemodynamic Stability Index (HSI), which highlights situational awareness of po...

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Bibliographic Details
Main Authors: Rahman, Asif, Chang, Yale, Dong, Junzi, Conroy, Bryan, Natarajan, Annamalai, Kinoshita, Takahiro, Vicario, Francesco, Frassica, Joseph, Xu-Wilson, Minnan
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Language:English
Published: BioMed Central 2021
Online Access:https://hdl.handle.net/1721.1/138177