A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study.
Dongmei GuXiaozhen LvChuan ShiTian Hong ZhangYong XuZili FanLihui TuMing ZhangNan ZhangLiming ChenZhijiang WangJing WangYing ZhangHuizi LiLuchun WangJiahui ZhuYaonan ZhengHua-Li WangXin Yunull nullPublished in: Journal of medical Internet research (2023)
We developed a stable and scalable composite neurocognitive test based on ML that could differentiate not only between patients with MCI and controls but also between patients with different stages of cognitive impairment. This composite neurocognitive test is a feasible and practical digital biomarker that can potentially be used in large-scale cognitive screening and intervention studies.