Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach.

Sabela C MalloSonia Valladares-RodriguezDavid FacalCristina Lojo-SeoaneManuel J Fernández-IglesiasArturo X Pereiro

Published in: International psychogeriatrics (2021)

ML is a valuable technique for detecting the risk of conversion to dementia in MCI patients. Some NPS proxies, including NPI-Q total severity score, NPI-Q total stress score, and GDS-15 total score, were deemed as the most important variables for predicting conversion, adding further support to the hypothesis that some NPS are associated with a higher risk of dementia in MCI.

Keyphrases

mild cognitive impairment
machine learning
end stage renal disease
cognitive impairment
newly diagnosed
ejection fraction
chronic kidney disease
peritoneal dialysis
artificial intelligence
big data
sleep quality
heat stress