The Architecture of an Automatic eHealth Platform With Mobile Client for Cerebrovascular Disease Detection

BACKGROUND: In recent years, cerebrovascular disease has been the leading cause of death and adult disability in the world. This study describes an efficient approach to detect cerebrovascular disease. OBJECTIVE: In order to improve cerebrovascular treatment, prevention, and care, an automatic cereb...

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Detalles Bibliográficos
Autores principales: Wang, Xingce, Bie, Rongfang, Sun, Yunchuan, Wu, Zhongke, Zhou, Mingquan, Cao, Rongfei, Xie, Lizhi, Zhang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2013
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4114469/
https://www.ncbi.nlm.nih.gov/pubmed/25098861
http://dx.doi.org/10.2196/mhealth.2550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4114469/
https://www.ncbi.nlm.nih.gov/pubmed/25098861
http://dx.doi.org/10.2196/mhealth.2550

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