Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data

BACKGROUND: Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the application of NPTs in clinical settings, we developed and evaluated the accuracy of a m...

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Detalles Bibliográficos
Autores principales: Kang, Min Ju, Kim, Sang Yun, Na, Duk L., Kim, Byeong C., Yang, Dong Won, Kim, Eun-Joo, Na, Hae Ri, Han, Hyun Jeong, Lee, Jae-Hong, Kim, Jong Hun, Park, Kee Hyung, Park, Kyung Won, Han, Seol-Heui, Kim, Seong Yoon, Yoon, Soo Jin, Yoon, Bora, Seo, Sang Won, Moon, So Young, Yang, YoungSoon, Shim, Yong S., Baek, Min Jae, Jeong, Jee Hyang, Choi, Seong Hye, Youn, Young Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873409/
https://www.ncbi.nlm.nih.gov/pubmed/31752864
http://dx.doi.org/10.1186/s12911-019-0974-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873409/
https://www.ncbi.nlm.nih.gov/pubmed/31752864
http://dx.doi.org/10.1186/s12911-019-0974-x

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