The Trail Making test: a study of its ability to predict falls in the acute neurological in-patient population.

Bilal Akhter MateenMatthias BussasCatherine DooganDenise WallerAlessia SaverinoFranz J KirályE Diane Playford

Published in: Clinical rehabilitation (2018)

This study identifies a simple yet powerful machine learning (Random Forest) based predictive model for an in-patient neurological population, utilizing a single neuropsychological test of cognitive function, the Trail Making test.

Keyphrases

machine learning
case report
liver failure
climate change
genome wide
mild cognitive impairment
intensive care unit
drug induced
respiratory failure
gene expression
deep learning
extracorporeal membrane oxygenation
hepatitis b virus
community dwelling
mechanical ventilation