Results of 20 Machine-Learning Techniques to Identify Sepsis Patients in the Emergency Department

被引:1
|
作者
Sherwin, R. [1 ]
Ying, H. [1 ]
机构
[1] Wayne State Univ, Detroit, MI USA
关键词
D O I
10.1016/j.annemergmed.2018.08.019
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
14
引用
收藏
页码:S6 / S7
页数:2
相关论文
共 50 条
  • [1] Machine Learning Model to Identify Sepsis Patients in the Emergency Department: Algorithm Development and Validation
    Lin, Pei-Chen
    Chen, Kuo-Tai
    Chen, Huan-Chieh
    Islam, Md Mohaimenul
    Lin, Ming-Chin
    JOURNAL OF PERSONALIZED MEDICINE, 2021, 11 (11):
  • [2] Machine-learning models for prediction of sepsis patients mortality
    Bao, C.
    Deng, F.
    Zhao, S.
    MEDICINA INTENSIVA, 2023, 47 (06) : 315 - 325
  • [3] USING MACHINE LEARNING TECHNIQUES TO SUPPORT THE EMERGENCY DEPARTMENT
    van Delft, Roeland A. J. J.
    de Carvalho, Renata M.
    COMPUTING AND INFORMATICS, 2022, 41 (01) : 154 - 171
  • [4] Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department
    Anoeska Schipper
    Peter Belgers
    Rory O’Connor
    Kim Ellis Jie
    Robin Dooijes
    Joeran Sander Bosma
    Steef Kurstjens
    Ron Kusters
    Bram van Ginneken
    Matthieu Rutten
    World Journal of Emergency Surgery, 19 (1)
  • [5] Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning study
    Jiang, Shan
    Dai, Shuai
    Li, Yulin
    Zhou, Xianlong
    Jiang, Cheng
    Tian, Cong
    Yuan, Yana
    Li, Chengwei
    Zhao, Yan
    ECLINICALMEDICINE, 2025, 80
  • [6] Medical emergency department triage data processing using a machine-learning solution
    Vantu, Andreea
    Vasilescu, Anca
    Baicoianu, Alexandra
    HELIYON, 2023, 9 (08)
  • [7] Machine learning algorithms for early sepsis detection in the emergency department: A retrospective study
    Kijpaisalratana, Norawit
    Sanglertsinlapachai, Daecha
    Techaratsami, Siwapol
    Musikatavorn, Khrongwong
    Saoraya, Jutamas
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2022, 160
  • [8] Machine-learning models for prediction of sepsis patients mortality: A needed consideration
    Fernandez, Marcos Valiente
    Moya, Francisco de Paula Delgado
    de Aledo, Amanda Lesmes Gonzalez
    Badia, Isaias Martin
    MEDICINA INTENSIVA, 2023, 47 (07) : 416 - 417
  • [9] Risk Factors for Pediatric Sepsis in the Emergency Department A Machine Learning Pilot Study
    Mercurio, Laura
    Pou, Sovijja
    Duffy, Susan
    Eickhoff, Carsten
    PEDIATRIC EMERGENCY CARE, 2023, 39 (02) : E48 - E56
  • [10] Development and validation of a practical machine-learning triage algorithm for the detection of patients in need of critical care in the emergency department
    Yecheng Liu
    Jiandong Gao
    Jihai Liu
    Joseph Harold Walline
    Xiaoying Liu
    Ting Zhang
    Yunyang Wu
    Ji Wu
    Huadong Zhu
    Weiguo Zhu
    Scientific Reports, 11