An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks

BACKGROUND: Mild cognitive impairment (MCI) is an early stage of cognitive decline which could develop into dementia. An early detection of MCI is a crucial step for timely prevention and intervention. Recent studies have developed deep learning models to detect MCI and dementia using a bedside task...

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Detalles Bibliográficos
Autores principales: Ruengchaijatuporn, Natthanan, Chatnuntawech, Itthi, Teerapittayanon, Surat, Sriswasdi, Sira, Itthipuripat, Sirawaj, Hemrungrojn, Solaphat, Bunyabukkana, Prodpran, Petchlorlian, Aisawan, Chunamchai, Sedthapong, Chotibut, Thiparat, Chunharas, Chaipat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361513/
https://www.ncbi.nlm.nih.gov/pubmed/35945568
http://dx.doi.org/10.1186/s13195-022-01043-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361513/
https://www.ncbi.nlm.nih.gov/pubmed/35945568
http://dx.doi.org/10.1186/s13195-022-01043-2

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