Fig. 2From: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort studyCox model with selected features and pooled Cox regression model of new events of neurodegenerative diseases. Panel A: The number above the columns shows the number of features appearing in different numbers of imputed datasets (from 30 to 40). Seven variables appeared in 32 to 40 imputed datasets, 8 variables in 31 datasets and 9 variables in 30 datasets. Panel B: P values from the Wald test on the pooled Cox regression models with different numbers of variables. P values < 0.05 are shown in bold. The model with eight variables showed the most significant difference (smallest p value) compared to the other models. Panel C: Hazard ratios and 95% confidence intervals in Cox regression model with eight selected variables (CoxSf) pooled according to the Rubin’s rules. All the selected variables were significantly associated with neurocognitive disordersBack to article page