Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission

Aaron W. Sievering, Peter Wohlmuth, Nele Geßler, Melanie A. Gunawardene, Klaus Herrlinger, Berthold Bein, Dirk Arnold, Martin Bergmann, Lorenz Nowak, Christian Gloeckner, Ina Koch, Martin Bachmann, Christoph U. Herborn, Axel Stang. Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission. BMC Med. Inf. & Decision Making, 22(1):309, 2022. [doi]

@article{SieveringWGGHBA22,
  title = {Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission},
  author = {Aaron W. Sievering and Peter Wohlmuth and Nele Geßler and Melanie A. Gunawardene and Klaus Herrlinger and Berthold Bein and Dirk Arnold and Martin Bergmann and Lorenz Nowak and Christian Gloeckner and Ina Koch and Martin Bachmann and Christoph U. Herborn and Axel Stang},
  year = {2022},
  doi = {10.1186/s12911-022-02057-4},
  url = {https://doi.org/10.1186/s12911-022-02057-4},
  researchr = {https://researchr.org/publication/SieveringWGGHBA22},
  cites = {0},
  citedby = {0},
  journal = {BMC Med. Inf. & Decision Making},
  volume = {22},
  number = {1},
  pages = {309},
}