Cargando…
Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms
Poststroke depression (PSD) is a major psychiatric disorder that develops after stroke; however, whether PSD treatment improves cognitive and functional impairments is not clearly understood. We reviewed data from 31 subjects with PSD and 34 age-matched controls without PSD; all subjects underwent n...
Autores principales: | Ryu, Yeong Hwan, Kim, Seo Young, Kim, Tae Uk, Lee, Seong Jae, Park, Soo Jun, Jung, Ho-Youl, Hyun, Jung Keun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031547/ https://www.ncbi.nlm.nih.gov/pubmed/35456358 http://dx.doi.org/10.3390/jcm11082264 |
Ejemplares similares
-
The effects of different attentional focus on poststroke gait
por: Kim, Sun-Ae, et al.
Publicado: (2019) -
Indoleamine 2,3-Dioxygenase-Dependent Neurotoxic Kynurenine Metabolism Contributes to Poststroke Depression Induced in Mice by Ischemic Stroke along with Spatial Restraint Stress
por: Koo, Young Soo, et al.
Publicado: (2018) -
Prognosis for Patients With Traumatic Cervical Spinal Cord Injury Combined With Cervical Radiculopathy
por: Kim, Seo Yeon, et al.
Publicado: (2014) -
Machine Learning Algorithm for Efficient Design of Separated Buffer Super-Junction IGBT
por: Kim, Ki Yeong, et al.
Publicado: (2023) -
A Case of Herpes Zoster Peripheral Polyneuropathy Manifested by Foot Drop in Chronic Myeloid Leukemia
por: Seo, Dong Hyuk, et al.
Publicado: (2012)