Machine learning in medication prescription: A systematic review.

Journal: International journal of medical informatics
PMID: 37939541

Abstract

BACKGROUND: Medication prescription is a complex process that could benefit from current research and development in machine learning through decision support systems. Particularly pediatricians are forced to prescribe medications "off-label" as children are still underrepresented in clinical studies, which leads to a high risk of an incorrect dose and adverse drug effects.

Authors

  • Alexa Iancu
    Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Wetterkreuz 15, 91058 Erlangen, Germany.
  • Ines Leb
    Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Wetterkreuz 15, 91058 Erlangen, Germany.
  • Hans-Ulrich Prokosch
    Institute for Medical Informatics, University Erlangen-Nuremberg, Erlangen, Germany; Center for Medical Information and Communication, Erlangen University Hospital, Erlangen, Germany.
  • Wolfgang Rödle
    Chair of Medical Informatics, Friedrich-Alexander University Erlangen-Nürnberg.

Keywords

External Resources

Popular Topics
Recent Journals