Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: Dementia is a complex disorder characterized by poor outcomes for the patients and high costs of care. After decades of research little is known about its mechanisms. Having prognostic estimates about dementia can help researchers, patients and public entities in dealing with this disorder. Thus, health data, machine learning and microsimulation techniques could be employed in developing prognostic estimates for dementia.

Authors

  • Ana Luiza Dallora
    Department of Computer Science, Blekinge Institute of Technology, Karlskrona, Sweden.
  • Shahryar Eivazzadeh
    Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.
  • Emilia Mendes
    Department of Computer Science, Blekinge Institute of Technology, Karlskrona, Sweden.
  • Johan Berglund
    Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.
  • Peter Anderberg
    Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.