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