Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree-Reference-Cited by-同舟云学术

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Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree

Published:2021-05-14 Issue:19 Volume:100 Page:e25813
ISSN:0025-7974
Container-title:Medicine
language:en
Short-container-title:

Author:

Li Ke,Shi Qinwen,Liu Siru,Xie Yilin,Liu Jialin

Funder

Sichuan Science and Technology Program

Special project of central government guiding local science and technology development

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference33 articles.

1. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3);Singer;JAMA,2016

2. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study;Rudd;Lancet,2020

3. Assessment of global incidence and mortality of hospital-treated sepsis. Current estimates and limitations;Fleischmann;Am J Respir Crit Care Med,2016

4. Vital signs: epidemiology of sepsis: prevalence of health care factors and opportunities for prevention;Novosad;MMWR Morb Mortal Wkly Rep,2016

5. Early identification of severe community-acquired pneumonia: a retrospective observational study;Grudzinska;BMJ Open Respir Res,2019

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