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

Evidence is presented on the state of the art of studies investigating and the prognosis of dementia using machine learning and microsimulation techniques and the current research is focused on the investigation of the patients with mild cognitive impairment that will evolve to Alzheimer’s disease, using machinelearning techniques.

Abstract

Prediction of conversion from MCI to AD is the dominant theme in the selected studies. Most studies used ML techniques on Neuroimaging data. Only a few data sources have been recruited by most studies and the ADNI database is the one most commonly used. Only two studies have investigated the prediction of epidemiological aspects of Dementia using either ML or MS techniques. Finally, care should be taken when interpreting the reported accuracy of ML techniques, given studies' different contexts.