Adaptive weighted stacking model with optimal weights selection for mortality risk prediction in sepsis patients-Reference-Cited by-同舟云学术

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Adaptive weighted stacking model with optimal weights selection for mortality risk prediction in sepsis patients

Published:2024-09-03 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhou Liang,Li Wenjin,Wu Tao,Fan Zhiping,Ismaili Levent,Komolafe Temitope Emmanuel,Zhang Siwen^ORCID

Funder

Fault Diagnosis Research in Uncertain Environment under the Background of Industry 4.0

National Natural Science Foundation of China

Science and Technology Innovation Plan Of Shanghai Science and Technology Commission

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-024-05783-6.pdf

Reference51 articles.

1. Li S, Hu X, Xu J et al (2019) Increased body mass index linked to greater short- and long-term survival in sepsis patients: A retrospective analysis of a large clinical database. Int J Infect Dis 87:109–116. https://doi.org/10.1016/j.ijid.2019.07.018

2. Singer M, Deutschman CS, Seymour CW et al (2016) Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). Jama-J Am Med Assoc 315:801–810. https://doi.org/10.1001/jama.2016.0287

3. Song J, Park DW, Moon S et al (2019) Diagnostic and prognostic value of interleukin-6, pentraxin 3, and procalcitonin levels among sepsis and septic shock patients: a prospective controlled study according to the Sepsis-3 definitions. BMC Infect Dis 19:968. https://doi.org/10.1186/s12879-019-4618-7

4. Rudd KE, Johnson SC, Agesa KM et al (2020) Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet 395:200–211. https://doi.org/10.1016/S0140-6736(19)32989-7

5. Wardi G, Carlile M, Holder A et al (2021) Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm. Ann Emerg Med 77:395–406. https://doi.org/10.1016/j.annemergmed.2020.11.007

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