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NTIS 바로가기Stroke, v.46 no.4, 2015년, pp.1038 - 1044
Brown, Allen W. (From the Department of Physical Medicine and Rehabilitation (A.W.B., B.A.S.) and Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN (T.M.T.)) , Therneau, Terry M. (Uniform Data System for Medical Rehabilitation, Buffalo, NY (P.M.N., C.V.G.)) , Schultz, Billie A. (Department of Health Care Studies, Daemen College, Amherst, NY (P.M.N.)) , Niewczyk, Paulette M. (and the Department of Neurology, University at Buffalo, Buffalo, NY (C.V.G.).) , Granger, Carl V. (From the Department of Physical Medicine and Rehabilitation (A.W.B., B.A.S.) and Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN (T.M.T.))
Background and Purpose—Identifying clinical data acquired at inpatient rehabilitation admission for stroke that accurately predict key outcomes at discharge could inform the development of customized plans of care to achieve favorable outcomes. The purpose of this analysis was to use a large ...
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