Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches

BACKGROUND: Accurate prediction of motor recovery after stroke is critical for treatment decisions and planning. Machine learning has been proposed to be a promising technique for outcome prediction because of its high accuracy and ability to process large volumes of data. It has been used to predic...

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Detalles Bibliográficos
Autores principales: Thakkar, Hiren Kumar, Liao, Wan-wen, Wu, Ching-yi, Hsieh, Yu-Wei, Lee, Tsong-Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523081/
https://www.ncbi.nlm.nih.gov/pubmed/32993692
http://dx.doi.org/10.1186/s12984-020-00758-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523081/
https://www.ncbi.nlm.nih.gov/pubmed/32993692
http://dx.doi.org/10.1186/s12984-020-00758-3

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