A Machine Learning Model and Data Visualization Approach to Predict In-Hospital Sepsis

被引：0
|
作者：
Kan, Chin Fung Kelvin [1 ]
Kotter, Adam [1 ]
Wan, Yik-Ki Jacob [1 ]
Morgan, Keaton [1 ]
Abdelrahman, Samir [1 ]
Madaras-Kelly, Karl [2 ]
Del Fiol, Guilherme [1 ]
机构：
[1] Univ Utah, Salt Lake City, UT 84112 USA
[2] Idaho State Univ, Pocatello, ID 83209 USA
来源：
ANESTHESIA AND ANALGESIA | 2024年 / 139卷 / 05期
关键词：
D O I：
暂无
中图分类号：
R614 [麻醉学];
学科分类号：
100217 ;
摘要：
引用
收藏
页码：952 / 953
页数：2
相关论文
共 50 条
  • [1] Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
    Guilan Kong
    Ke Lin
    Yonghua Hu
    BMC Medical Informatics and Decision Making, 20
  • [2] Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
    Kong, Guilan
    Lin, Ke
    Hu, Yonghua
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (01)
  • [3] Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study
    Li, Shuhe
    Dou, Ruoxu
    Song, Xiaodong
    Lui, Ka Yin
    Xu, Jinghong
    Guo, Zilu
    Hu, Xiaoguang
    Guan, Xiangdong
    Cai, Changjie
    JOURNAL OF CLINICAL MEDICINE, 2023, 12 (03)
  • [4] DEVELOPMENT OF A MACHINE LEARNING MODEL TO PREDICT IN-HOSPITAL MORTALITY FOR CARDIOGENIC SHOCK
    Ostberg, Nicolai P.
    Smilowitz, Nathaniel Rosso
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2022, 79 (09) : 248 - 248
  • [5] Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach
    Taylor, R. Andrew
    Pare, Joseph R.
    Venkatesh, Arjun K.
    Mowafi, Hani
    Melnick, Edward R.
    Fleischman, William
    Hall, M. Kennedy
    ACADEMIC EMERGENCY MEDICINE, 2016, 23 (03) : 269 - 278
  • [6] Machine Learning for Predicting Sepsis In-hospital Mortality: An Important Start
    Scott, Halden
    Colborn, Kathryn
    ACADEMIC EMERGENCY MEDICINE, 2016, 23 (11) : 1307 - 1307
  • [7] Using Machine Learning to Develop and Validate an In-Hospital Mortality Prediction Model for Patients with Suspected Sepsis
    Chao, Hsiao-Yun
    Wu, Chin-Chieh
    Singh, Avichandra
    Shedd, Andrew
    Wolfshohl, Jon
    Chou, Eric H.
    Huang, Yhu-Chering
    Chen, Kuan-Fu
    BIOMEDICINES, 2022, 10 (04)
  • [8] Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest
    Urteaga, Jon
    Elola, Andoni
    Norvik, Anders
    Unneland, Eirik
    Eftestol, Trygve C.
    Bhardwaj, Abhishek
    Buckler, David
    Abella, Benjamin S.
    Skogvoll, Eirik
    Aramendi, Elisabete
    RESUSCITATION PLUS, 2024, 17
  • [9] Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission
    Brajer, Nathan
    Cozzi, Brian
    Gao, Michael
    Nichols, Marshall
    Revoir, Mike
    Balu, Suresh
    Futoma, Joseph
    Bae, Jonathan
    Setji, Noppon
    Hernandez, Adrian
    Sendak, Mark
    JAMA NETWORK OPEN, 2020, 3 (02)
  • [10] Machine learning to predict in-hospital outcomes in patients with acute heart failure
    Sibilia, B.
    Toupin, S.
    Dillinger, J. G.
    Brette, J. B.
    Ramonatxo, A.
    Schurtz, G.
    Hamzi, K.
    Trimaille, A.
    Bouali, N.
    Piliero, N.
    Logeart, D.
    Andrieu, S.
    Picard, F.
    Henry, P.
    Pezel, T.
    EUROPEAN HEART JOURNAL, 2023, 44
12345