Comparison of correctly and incorrectly classified patients for in-hospital mortality prediction in the intensive care unit.

Journal: BMC medical research methodology
PMID: 37095430

Abstract

BACKGROUND: The use of machine learning is becoming increasingly popular in many disciplines, but there is still an implementation gap of machine learning models in clinical settings. Lack of trust in models is one of the issues that need to be addressed in an effort to close this gap. No models are perfect, and it is crucial to know in which use cases we can trust a model and for which cases it is less reliable.

Authors

  • Eline Stenwig
    Department of Circulation and Medical Imaging, The Norwegian University of Science and Technology, Trondheim, Norway. eline.stenwig@ntnu.no.
  • Giampiero Salvi
    Department of Electronic Systems, The Norwegian University of Science and Technology, Trondheim, Norway.
  • Pierluigi Salvo Rossi
    Department of Electronic Systems, The Norwegian University of Science and Technology, Trondheim, Norway.
  • Nils Kristian Skjærvold
    Department of Circulation and Medical Imaging, The Norwegian University of Science and Technology, Trondheim, Norway.

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