We also explore the performance impacts of acoustic versus linguistic, text-based features and find that linguistic features achieve lower RMSE scores, providing strong positive support for their inclusion in future MMSE score prediction models. Our best-performing model leverages a selection of verbal ...
Strong: Our ensemble model achieves 83.3% classification accuracy and 4.60 rmse for MMSE score regression in ADReSS Robust: Balanced dataset for gender and age by ADReSS ensures rigid testing Main Results ADReSS Test Set ModelAccuracyPrecisionRecallF1-ScoreRMSE (MMSE*) Luz et al. 0.75 0.83 0.62...
Patients with a 2- or 3-point decrease in MMSE and a perfect VAT score did not have a significantly different average risk for dementia than the cohort as a whole. "Administering the VAT in patients with a small decline on the MMSE over a 2-year period has substantial incremental value f...
We compared change in SymptomGuide™-dementia (SG-D; clinically meaningful symptoms set as treatment goals by caregivers) to change in Mini-Mental State Examination (MMSE) scores. Methods This secondary analysis used data from VASPECT, a six-month open-label trial of donepezil. Subjects with ...
P3‐022: INDIVIDUALIZED SYMPTOM TRACKING WITH SYMPTOMGUIDETM ALLOWS FOR CLINICALLY MEANINGFUL INTERPRETATION OF MMSE SCORE CHANGES IN A DEMENTIA DRUG TRIALdoi:10.1016/j.jalz.2019.06.3048Justin StanleyTaylor DunnSusan E. HowlettKenneth RockwoodAlzheimer's and Dementia...
A remarkably wide range of cognitive impairment can be found in PD patients with a relatively high score on the MMSE, including a level of cognitive impairment consistent with dementia. Given these findings, clinicians must be aware of the limitations of the MMSE in detecting cognitive impairment,...
摘要: Studies the relationship of principal lifetime occupation with Mini-Mental State Examination in 524 community-dwelling elders aged 70 and older. Effect of age and education; Multiple regression analysis on farmers and white-collar workers....
Based on measurement of finger tapping movement, the pipeline is first to select finger-tapping attributes with copula entropy and then to predict MMSE score from the selected attributes with predictive models. Experiments on real world data show that the predictive models such developed present good...
As a byproduct, the associations between certain finger-tapping attributes('Number of taps','Average of intervals', and 'Frequency of taps' of both hands of bimanual in-phase task) and MMSE score are discovered with copula entropy,which may be interpreted as the biological relationship between...
Ratio-sum-difference-product metafeatures clustered with MMSE score.Ahmed, Shamsul ArefinLuke, MathiesonDaniel, JohnstoneRegina, BerrettaPablo, Moscato