A bayesian network model for neurocognitive disorders digital screening in Chinese population: development and validation study

The findings of this study indicated that the established Bayesian network model could identify factors directly related to neurocognitive disorders and accurately predicted the risk of neurocognitive disorders in primary healthcare settings. The Bayesian network model is applicable to screening for neurocognitive disorders in large-scale electronic health record systems among adult populations. The proposed Bayesian network model incorporates 31 variables spanning demographic and clinical variables and demonstrates robustness to missing data, supporting its potential utility in clinical decision-making contexts.