MoCA-defined cognitive impairment

Disease

1 paper studies it1 more mentions it1 finding

1 new paper in 30 daysSee all 2

Humans1

Associations

11-feature Random Forest model

upin humans1

1 study

11-feature Random Forest model predicts MoCA-defined cognitive impairment in humans (External AUC 0.860; internal hold-out AUC 0.966; training cross-validated AUC 0.883 ± 0.024).
“an internal hold-out AUC of 0.966, and 0.860 in an independent ADNI cohort of 139 subjects (100 CI, 39 NCI).”
HumansIndependent ADNI validation cohortn = 139
Brain scan model classifies cognitive screening results
Bioengineering (Basel, Switzerland)Sep 23, 2026

Latest

2 papers in 12 months

BioengineeringOct 27

Brain scan model classifies cognitive screening results

The model scored 0.860 in 139 independently studied people, versus 0.966 in the original test group, on a scale where 1 means perfect separation.The model scored 0.860 in 139 independently studied people, versus 0.966 in the original test group, on a scale where 1 means perfect separation.

Cross-sectional · 139 peopleBiomarkers

Paper

Applied Neuropsychology AdultSep 9

Educational bias in the Montreal Cognitive Assessment among hemodialysis patients: A domain-level analysis

Cross-sectional study of 161 peopleMontreal Cognitive Assessment