Long-term trajectories of community integration: identification, characterization, and prediction using inpatient rehabilitation variables-Reference-Cited by-同舟云学术

Long-term trajectories of community integration: identification, characterization, and prediction using inpatient rehabilitation variables

Published:2023-03-19 Issue:7 Volume:30 Page:714-726
ISSN:1074-9357
Container-title:Topics in Stroke Rehabilitation
language:en
Short-container-title:Topics in Stroke Rehabilitation

Author:

Garcia-Rudolph Alejandro¹²³^ORCID,Sauri Joan¹²³^ORCID,Cisek Katryna⁴,Kelleher John D.⁴,Madai Vince Istvan⁵⁶⁷,Frey Dietmar⁶,Opisso Eloy¹²³^ORCID,Tormos Josep María¹²³,Bernabeu Montserrat¹²³

Affiliation:

1. Department of Research and Innovation, Institut Guttmann, Institut Universitari de Neurorehabilitaciò adscrit a la UAB, Badalona, Spain

2. Universitat Autònoma de Barcelona, Barcelona, Spain

3. Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain

4. Information, Communication and Entertainment Research Institute, Technological University Dublin (TU Dublin), Dublin, Ireland

5. School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, UK

6. CLAIM Charité Lab for AI in Medicine, Charité Universitätsmedizin, Berlin, Germany

7. QUEST Center for Transforming Biomedical Research, Berlin Institute of Health (BIH), Charité - Universitätsmedizin Berlin, Berlin, Germany

Publisher

Informa UK Limited

Subject

Neurology (clinical),Community and Home Care,Rehabilitation

Link

https://www.tandfonline.com/doi/pdf/10.1080/10749357.2023.2188756

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