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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Detalhes bibliográficos
Publicado no:BMC Med Inform Decis Mak
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6873409/
https://ncbi.nlm.nih.gov/pubmed/31752864
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0974-x
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