Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality

被引：0
|
作者：
D. I. Andonov
B. Ulm
M. Graessner
A. Podtschaske
M. Blobner
B. Jungwirth
S. M. Kagerbauer
机构：
[1] Technical University of Munich,Department of Anaesthesiology and Intensive Care Medicine, School of Medicine
[2] University of Ulm,Department of Anaesthesiology and Intensive Care Medicine, School of Medicine, University Hospital Ulm
来源：
BMC Medical Informatics and Decision Making | / 23卷
关键词：
Machine learning; Model degradation; Covariate shift; Covid-19;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Impact of the COVID-19 pandemic on cancer mortality in Brazil
    da Cunha, Amanda Ramos
    Antunes, Jose Leopoldo Ferreira
    BMC CANCER, 2024, 24 (01)
  • [42] Impact of the COVID-19 pandemic on cancer incidence and mortality
    Wells, Chad R.
    Gaivani, Alison P.
    LANCET PUBLIC HEALTH, 2022, 7 (06): : E490 - E491
  • [43] Impact of COVID-19 Pandemic on Total Mortality in Poland
    Baranski, Kamil
    Brozek, Grzegorz
    Kowalska, Malgorzata
    Kaleta-Pilarska, Angelina
    Zejda, Jan Eugeniusz
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (08)
  • [44] COVID-19 PANDEMIC INDIRECT IMPACT ON MORTALITY RATES
    Araja, D.
    VALUE IN HEALTH, 2022, 25 (07) : S329 - S330
  • [45] Analysis on Prediction of COVID-19 with Machine Learning Algorithms
    Sathyaraj, R.
    Kanthavel, R.
    Cavaliere, Luigi Pio Leonardo
    Vyas, Sumit
    Maheswari, S.
    Gupta, Ravi Kumar
    Raja, M. Ramkumar
    Dhaya, R.
    Gupta, Mukesh Kumar
    Sengan, Sudhakar
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2022, 30 (SUPP01) : 67 - 82
  • [46] Prediction of the COVID-19 pandemic with Machine Learning Models
    Sruthi, P. Lakshmi
    Raju, K. Butchi
    PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021), 2021, : 474 - 481
  • [47] The Impact of the COVID-19 Pandemic on Firm Performance
    Shen, Huayu
    Fu, Mengyao
    Pan, Hongyu
    Yu, Zhongfu
    Chen, Yongquan
    EMERGING MARKETS FINANCE AND TRADE, 2020, 56 (10) : 2213 - 2230
  • [48] Significant Applications of Machine Learning for COVID-19 Pandemic
    Kushwaha, Shashi
    Bahl, Shashi
    Bagha, Ashok Kumar
    Parmar, Kulwinder Singh
    Javaid, Mohd
    Haleem, Abid
    Singh, Ravi Pratap
    JOURNAL OF INDUSTRIAL INTEGRATION AND MANAGEMENT-INNOVATION AND ENTREPRENEURSHIP, 2020, 5 (04): : 453 - 479
  • [49] The COVID-19 Pandemic and Perioperative Neuroscience
    Smith, Martin
    JOURNAL OF NEUROSURGICAL ANESTHESIOLOGY, 2021, 33 (01) : 1 - 2
  • [50] Machine Learning for Mortality Analysis in Patients with COVID-19
    Sanchez-Montanes, Manuel
    Rodriguez-Belenguer, Pablo
    Serrano-Lopez, Antonio J.
    Soria-Olivas, Emilio
    Alakhdar-Mohmara, Yasser
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (22) : 1 - 20
12345