Predicting Future Occurrence of Acute Hypotensive Episodes Using Noninvasive and Invasive Features.

Introduction: Early prediction of the acute hypotensive episode (AHE) in critically ill patients has the potential to improve outcomes. In this study, we apply different machine learning algorithms to the MIMIC III Physionet dataset, containing more than 60,000 real-world intensive care unit records...

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Bibliographic Details

Published in:	Military Medicine Vol. 186; pp. 445 - 452
Main Authors:	Yifei Sun, Rashedi, Navid, Vaze, Vikrant, Shah, Parikshit, Halter, Ryan, Elliott, Jonathan T., Paradis, Norman A., Sun, Yifei
Format:	research Journal Article
Published:	Oxford University Press / USA 2021 Supplement
Online Access:	View this record in EBSCOhost