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                                       Details for article 31 of 67 found articles
 
 
  Early prediction of sepsis using an XGBoost model with single time-point non-invasive vital signs and its correlation with C-reactive protein and procalcitonin: A multi-center study
 
 
Title: Early prediction of sepsis using an XGBoost model with single time-point non-invasive vital signs and its correlation with C-reactive protein and procalcitonin: A multi-center study
Author: Yang, Albert C.
Ma, Wei-Ming
Chiang, Dung-Hung
Liao, Yi-Ze
Lai, Hsien-Yung
Lin, Shu-Chuan
Liu, Mei-Chin
Wen, Kai-Ting
Lin, Tzong-Huei
Tsai, Wen-Xiang
Zhu, Jun-Ding
Chen, Ting-Yu
Lee, Hung-Fu
Liao, Pei-Hung
Yien, Huey-Wen
Wang, Chien-Ying
Appeared in: Intelligence-based medicine
Paging: Volume 11 () nr. C pages p.
Year: 2025
Contents:
Publisher: The Authors
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 31 of 67 found articles
 
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