Published on 01.12.2023 in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49147, first published May 20, 2023.

A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study

A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study

A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study

Dongmei Gu^{1, 2}

; Xiaozhen Lv^{1, 2}

; Chuan Shi^{1, 2}

; Tianhong Zhang³

; Zili Fan^{1, 2, 5}

; Lihui Tu^{1, 2, 5}

; Ming Zhang^{1, 2, 6}

; Liming Chen⁸

; Zhijiang Wang^{1, 2}

; Jing Wang^{1, 2}

; Ying Zhang^{1, 2, 5}

; Huizi Li^{1, 2}

; Luchun Wang^{1, 2}

; Jiahui Zhu^{1, 2}

; Yaonan Zheng^{1, 2}

; Huali Wang^{1, 2}

; Xin Yu^{1, 2}

; Alzheimer's Disease Neuroimaging Initiative (ADNI)⁹

Article Authors Cited by (1) Tweetations (3) Metrics

Journals

Tascedda S, Sarti P, Rivi V, Guerrera C, Platania G, Santagati M, Caraci F, Blom J. Advanced AI techniques for classifying Alzheimer’s disease and mild cognitive impairment. Frontiers in Aging Neuroscience 2024;16 View