A Medical Decision Support System for Automatic Treatment Plan Generation Using Machine Learning Algorithms.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Due to demographic change, health economics is increasingly focused on the quality of life in advanced age and the associated cost aspects. Dementia is one of the key issues in this area and its efficient treatment will become increasingly relevant in the near future. Our system aims to automatically create treatment plans for dementia patients in a digital platform. To this end, three algorithms were implemented: a rule-based approach, an approach based on artificial neural networks, and an approach using large language models. A comprehensive synthetic dataset with fictitious patients, medical problems, and treatments was created for training and evaluation of the algorithms.

Authors

  • Florian Mazura
    FZI Research Center for Information Technology.
  • Marius Gerdes
    Karlsruhe Institute of Technology, Germany.
  • Rick Petzold
    Karlsruhe Institute of Technology KIT.
  • Wilhelm Stork
    FZI Forschungszentrum Informatik, Karlsruhe.
  • Markus Schinle
    FZI Research Center for Information Technologies, Germany.
  • Simon Stock
    Karlsruhe Institute of Technology KIT.