rehabilitación

Article

Using Implementation Science to Guide the Process of Adapting a Patient Engagement Intervention for Inpatient Spinal Cord Injury/Disorder Rehabilitation.

Autor/s:

Walsh RJ, McKay VR, Hansen PE, Barco PP, Jones K, Lee Y, Patel RD, Chen D, Heinemann AW, Lenze EJ, Wong AWK.

Any publicació:

2022

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 103 n. 11

https://www.archives-pmr.org/article/S0003-9993(22)00400-2/fulltext

Article

Using Inferred Mobility Status to Estimate the Time to Major Depressive Disorder Diagnosis Post-Spinal Cord Injury.

Autor/s:

VanDerwerker CJ, Gregory CM, Simpson KN.

Any publicació:

2020

Número de revista:

Archives of Physical Medicine and Rehabilitation vol. 101 n. 4

https://www.archives-pmr.org/article/S0003-9993(19)31468-6/fulltext

Article

Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Autor/s:

Lin GH, Li CY, Sheu CF, Huang CY, Lee SC, Huang YH, Hsieh CL.

Any publicació:

2022

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 103 n. 8

https://www.archives-pmr.org/article/S0003-9993(21)01769-X/fulltext

Article

Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Autor/s:

Shtar G, Rokach L, Shapira B, Nissan R, Hershkovitz A.

Any publicació:

2021

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 102 n. 3

https://www.archives-pmr.org/article/S0003-9993(20)30924-2/fulltext

Using Machine Learning With Wearable Devices to Advance Research and Patient Care Using Spinal Cord Injury as a Model.

Autor/s:

Delgado AD, Balthazaar SJT, Soltesz AE, Nightingale TE, Panza GS.

Short Communications

Any publicació:

2026

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 107 n. 5

https://www.sciencedirect.com/science/article/abs/pii/S0003999325009438

Article

Using Nursing Assessments of Mobility and Activity to Prioritize Patients Most Likely to Need Rehabilitation Services.

Autor/s:

Capo-Lugo CE, McLaughlin KH, Ye B, Daley K, Young D, Lavezza A, Friedman M, Hoyer EH.

Any publicació:

2023

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 104 n. 9

https://www.archives-pmr.org/article/S0003-9993(23)00186-7/fulltext

Article

Using Performance Status to Identify Risk of Acute Care Transfer in Inpatient Cancer Rehabilitation.

Autor/s:

McNair K, Botticello A, Stubblefield MD.

Any publicació:

2024

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 105 n. 5

https://www.sciencedirect.com/science/article/pii/S0003999324000339

Article

Using reliability of change analysis to evaluate post-acute neuro-rehabilitation.

Autor/s:

Palmer C, Kneebone II, Strauss C, Jones AM.

Any publicació:

2016

Número de revista:

NeuroRehabilitation vol. 38 n. 1

Using reliability of change analysis to evaluate post-acute neuro-rehabilitation.

Article

Using Systematic Functional Measurements in the Acute Hospital Setting to Combat the Immobility Harm.

Autor/s:

Young D, Kudchadkar SR, Friedman M, Lavezza A, Kumble S, Daley K, Flanagan E, Hoyer E.

Any publicació:

2022

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 103 n. 5 Suppl

https://www.archives-pmr.org/article/S0003-9993(20)31340-X/fulltext

Article

Using the Brief-BESTest paired with a novel algorithm to provide targeted balance interventions for people with subacute stroke: a feasibility study.

Autor/s:

Johns E, Wamsley C, Whiting A.

Any publicació:

2019

Número de revista:

Topics in Stroke Rehabilitation vol. 26 n. 1

https://www.tandfonline.com/doi/full/10.1080/10749357.2018.1517493

Una iniciativa de:

Cercador

Using Implementation Science to Guide the Process of Adapting a Patient Engagement Intervention for Inpatient Spinal Cord Injury/Disorder Rehabilitation.

Using Inferred Mobility Status to Estimate the Time to Major Depressive Disorder Diagnosis Post-Spinal Cord Injury.

Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Using Machine Learning With Wearable Devices to Advance Research and Patient Care Using Spinal Cord Injury as a Model.

Using Nursing Assessments of Mobility and Activity to Prioritize Patients Most Likely to Need Rehabilitation Services.

Using Performance Status to Identify Risk of Acute Care Transfer in Inpatient Cancer Rehabilitation.

Using reliability of change analysis to evaluate post-acute neuro-rehabilitation.

Using Systematic Functional Measurements in the Acute Hospital Setting to Combat the Immobility Harm.

Using the Brief-BESTest paired with a novel algorithm to provide targeted balance interventions for people with subacute stroke: a feasibility study.

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