Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission-Reference-Cited by-同舟云学术

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Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission

Published:2022-07-14 Issue:4 Volume:11 Page:1695-1713
ISSN:2193-8229
Container-title:Infectious Diseases and Therapy
language:en
Short-container-title:Infect Dis Ther

Author:

Hu Chang,Li Lu,Li Yiming,Wang Fengyun,Hu Bo,Peng Zhiyong

Funder

National Natural Science Foundation of China

Special Project for Significant New Drug Research and Development in the Major National Science and Technology Projects of China

Subject Cultivation Project of Zhongnan Hospital of Wuhan University

Translational Medicine and Interdisciplinary Research Joint Fund of Zhongnan Hospital of Wuhan University

the Open Project Program of the Jiangsu Provincial Key Laboratory of Critical Care Medicine

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases,Microbiology (medical)

Link

https://link.springer.com/content/pdf/10.1007/s40121-022-00671-3.pdf

Reference47 articles.

1. Kripalani S, Jackson AT, Schnipper JL, Coleman EA. Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. J Hosp Med. 2007;2(5):314–23.

2. Hosein FS, Roberts DJ, Turin TC, Zygun D, Ghali WA, Stelfox HT. A meta-analysis to derive literature-based benchmarks for readmission and hospital mortality after patient discharge from intensive care. Crit Care. 2014;18(6):715.

3. Kramer AA, Higgins TL, Zimmerman JE. The association between ICU readmission rate and patient outcomes. Crit Care Med. 2013;41(1):24–33.

4. Rosenberg AL, Watts C. Patients readmitted to ICUs*: a systematic review of risk factors and outcomes. Chest. 2000;118(2):492–502.

5. Renton J, Pilcher DV, Santamaria JD, et al. Factors associated with increased risk of readmission to intensive care in Australia. Intensive Care Med. 2011;37(11):1800–8.

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