Ting Liang

An interpretable machine learning screening model for MoCA-defined possible mild cognitive impairment in rural Xinjiang: a preliminary framework for resource-limited primary care

An interpretable screening model for MoCA-defined possible MCI tailored to rural Xinjiang is developed and validated by integrating established machine learning techniques within a localized framework, offering moderate discriminative performance and useful interpretability for preliminary screening purposes.