Dynamic Prediction of Latent Shock Based on Machine Learning in Emergency Department: A Retrospective Study

Author:

Zhou Yan,Yu Haibo,Dai Shuai,Qin Juan-juan,Jiang Shan,Li Shaoping,Zeng Rong,Li Yulin,Jiang Cheng

Publisher

Elsevier BV

Reference29 articles.

1. The changing face of cardiogenic shock: definitions, epidemiology, and severity assessment;J C Jentzer;Curr Opin Crit Care,2023

2. Epidemiology, management, and outcome of infection, sepsis, and septic shock in a German emergency department (EpiSEP study);Wolfertz Nicole;Frontiers in medicine,2022

3. Prehospital Bundle of Care Based on Antibiotic Therapy and Hemodynamic Optimization Is Associated With a 30-Day Mortality Decrease in Patients With Septic Shock;Jouffroy Romain;CRITICAL CARE MEDICINE,2022

4. 2016 Update for the Rogers' Textbook of Pediatric Intensive Care: Recognition and Initial Management of Shock;J C Fitzgerald;Pediatr Crit Care Med,2016

5. Management of cardiogenic shock complicating myocardial infarction: an update;H Thiele;Eur Heart J,2019

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