Clinical ground truth in machine learning for early sepsis diagnosis

被引：1
|
作者：
Lindner, Holger A. [1 ,2 ]
Thiel, Manfred [1 ,2 ]
Schneider-Lindner, Verena [1 ,2 ]
机构：
[1] Heidelberg Univ, Dept Anesthesiol & Surg Intens Care Med, D-68167 Mannheim, Germany
[2] Heidelberg Univ, Med Fac Mannheim, Mannheim Inst Innate Immunosci MI3, D-68167 Mannheim, Germany
来源：
LANCET DIGITAL HEALTH | 2023年 / 5卷 / 06期
关键词：
INTERNATIONAL CONSENSUS DEFINITIONS; ARTIFICIAL-INTELLIGENCE;
D O I：
10.1016/S2589-7500(23)00070-5
中图分类号：
R-058 [];
学科分类号：
摘要：
引用
收藏
页码：E338 / E339
页数：2
相关论文
共 50 条
  • [21] Application of Machine Learning for Clinical Subphenotype Identification in Sepsis
    Hu, Chang
    Li, Yiming
    Wang, Fengyun
    Peng, Zhiyong
    INFECTIOUS DISEASES AND THERAPY, 2022, 11 (05) : 1949 - 1964
  • [22] An early sepsis prediction model utilizing machine learning and unbalanced data processing in a clinical context
    Zhou, Luyao
    Shao, Min
    Wang, Cui
    Wang, Yu
    PREVENTIVE MEDICINE REPORTS, 2024, 45
  • [23] Application of Machine Learning for Clinical Subphenotype Identification in Sepsis
    Chang Hu
    Yiming Li
    Fengyun Wang
    Zhiyong Peng
    Infectious Diseases and Therapy, 2022, 11 : 1949 - 1964
  • [24] Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning
    Cheng, Yi-Wei
    Kuo, Po-Chih
    Chen, Shih-Hong
    Kuo, Yu-Ting
    Liu, Tyng-Luh
    Chan, Wing-Sum
    Chan, Kuang-Cheng
    Yeh, Yu-Chang
    JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2024, 38 (02) : 271 - 279
  • [25] Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning
    Yi-Wei Cheng
    Po-Chih Kuo
    Shih-Hong Chen
    Yu-Ting Kuo
    Tyng-Luh Liu
    Wing-Sum Chan
    Kuang-Cheng Chan
    Yu-Chang Yeh
    Journal of Clinical Monitoring and Computing, 2024, 38 : 271 - 279
  • [26] Addressing unmet clinical needs in the early diagnosis of sepsis
    Schaub, Nora
    Frei, Reno
    Mueller, Christian
    SWISS MEDICAL WEEKLY, 2011, 141
  • [27] Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning
    Kim, Ji Eun
    Henson, Cory
    Huang, Kevin
    Tran, Tuan A.
    Lin, Wan-Yi
    INTELLIGENT COMPUTING, VOL 2, 2021, 284 : 325 - 340
  • [28] MACHINE LEARNING-DRIVEN TEMPORAL SUBPHENOTYPES OF EARLY SEPSIS
    Ahamed, Younus
    Smith, Gordon
    Kumar, Gagan
    Nadkarni, Girish
    Adjeroh, Donald
    Sakhuja, Ankit
    CRITICAL CARE MEDICINE, 2024, 52
  • [29] A MACHINE LEARNING ALGORITHM FOR EARLY PREDICTION OF SEPSIS IN INTENSIVE CARE
    Sjovall, Fredrik
    Persson, Inger
    CRITICAL CARE MEDICINE, 2023, 51 (01) : 609 - 609
  • [30] Early Detection of Sepsis Induced Deterioration Using Machine Learning
    Dal Canton, Francesco
    Quinten, Vincent M.
    Wiering, Marco A.
    ARTIFICIAL INTELLIGENCE, BNAIC 2018, 2019, 1021 : 1 - 15
12345