Multiple imputation integrated to machine learning: predicting post-stroke recovery of ambulation after intensive inpatient rehabilitation

Abstract Good data quality is vital for personalising plans in rehabilitation. Machine learning (ML) improves prognostics but integrating it with Multiple Imputation (MImp) for dealing missingness is an unexplored field. This work aims to provide post-stroke ambulation prognosis, integrating MImp wi...

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Detalhes bibliográficos

Principais autores:	Alice Finocchi, Silvia Campagnini, Andrea Mannini, Stefano Doronzio, Marco Baccini, Bahia Hakiki, Donata Bardi, Antonello Grippo, Claudio Macchi, Jorge Navarro Solano, Michela Baccini, Francesca Cecchi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-10-01
coleção:	Scientific Reports
Assuntos:	Ambulation Machine learning Multiple imputation Prediction Rehabilitation Stroke
Acesso em linha:	https://doi.org/10.1038/s41598-024-74537-8
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