Updates are available Correction dated 2025-09-02
Click to view Correction: https://doi.org/10.1038/s41598-025-17206-8
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Authors
Campagnini, Silvia
Sodero, Alessandro
Baccini, Marco
Hakiki, Bahia
Grippo, Antonello
Macchi, Claudio
Mannini, Andrea
Cecchi, Francesca
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Clinical Trials BETA
Clinical trials referenced in this document:
nct03866057 at ClinicalTrials.govnct05389878 at ClinicalTrials.govDocuments that mention this clinical trial
Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods
https://doi.org/10.1038/s41598-025-00781-1
Documents that mention this clinical trial
Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods
https://doi.org/10.1038/s41598-025-00781-1
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Funding
Funding for this research was provided by:
Ministero della Salute (Ricerca Corrente)
Ministero della Salute (Ricerca Corrente)
Ministero della Salute (Ricerca Corrente)
Ministero della Salute (Ricerca Corrente)
Ministero della Salute (Ricerca Corrente)
Ministero della Salute (Ricerca Corrente)
Ministero della Salute (Ricerca Corrente)
Ministero della Salute (Ricerca Corrente)
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More Information
Article History
Received: 31 October 2024
Accepted: 30 April 2025
First Online: 8 May 2025
Change Date: 2 September 2025
Change Type: Correction
Change Details: A Correction to this paper has been published:
Change Details: https://doi.org/10.1038/s41598-025-17206-8
Declarations
:
: The authors declare no competing interests.
: Study protocols were a-priori registered on ClinicalTrials.gov (registration number RIPS: NCT03866057, registration number STRATEGY: NCT05389878) and were submitted and approved by the local ethical committees (RIPS: Florence, 14513; La Spezia, 294/2019; Massa and Fivizzano, 68013/2019; STRATEGY: Florence, 19779_oss). Patients provided written informed consent.
: Patients provided written informed consent.
