Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review

BACKGROUND: Rehabilitation medicine is facing a new development phase thanks to a recent wave of rigorous clinical trials aimed at improving the scientific evidence of protocols. This phenomenon, combined with new trends in personalised medical therapies, is expected to change clinical practice dram...

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Detalles Bibliográficos
Autores principales: Campagnini, Silvia, Arienti, Chiara, Patrini, Michele, Liuzzi, Piergiuseppe, Mannini, Andrea, Carrozza, Maria Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166382/
https://www.ncbi.nlm.nih.gov/pubmed/35659246
http://dx.doi.org/10.1186/s12984-022-01032-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166382/
https://www.ncbi.nlm.nih.gov/pubmed/35659246
http://dx.doi.org/10.1186/s12984-022-01032-4

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