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Article

A Bayesian optimization approach for rapidly mapping residual network function in stroke.

Autor/s:

Lorenz R, Johal M, Dick F, Hampshire A, Leech R, Geranmayeh F.

Any publicació:

2021

Número de revista:

Brain vol. 144 n. 7

https://academic.oup.com/brain/article/144/7/2120/6174117

Article

A DATA MINING APPROACH TO IDENTIFY COGNITIVE NEUROREHABILITATION RANGE IN TRAUMATIC BRAIN INJURY PATIENTS

Autor/s:

García-Rudolph A, Gibert K

Any publicació:

2014

https://www.sciencedirect.com/science/article/pii/S0957417414001249

Article

A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.

Autor/s:

Luzum G, Thrane G, Aam S, Eldholm RS, Grambaite R, Munthe-Kaas R, Thingstad P, Saltvedt I, Askim T.

Any publicació:

2024

Número de revista:

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

https://www.sciencedirect.com/science/article/pii/S0003999323007086

Article

Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.

Autor/s:

Agaronnik ND, Lindvall C, El-Jawahri A, He W, Iezzoni LI.

Any publicació:

2020

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 101 n. 10

https://www.archives-pmr.org/article/S0003-9993(20)30291-4/fulltext

Article

Decision Tree Analysis Accurately Predicts Discharge Destination After Spinal Cord Injury Rehabilitation.

Autor/s:

Kato C, Uemura O, Sato Y, Tsuji T.

Any publicació:

2024

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 105 n. 1

https://www.sciencedirect.com/science/article/pii/S0003999323004793

Article

Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.

Autor/s:

Lum PS, Shu L, Bochniewicz EM, Tran T, Chang LC, Barth J, Dromerick AW.

Any publicació:

2020

Número de revista:

Neurorehabilitation and Neural Repair vol. 34 n. 12

https://journals.sagepub.com/doi/full/10.1177/1545968320962483

Article

Machine Learning for Predicting Motor Improvement After Acute Subcortical Infarction Using Baseline Whole Brain Volumes.

Autor/s:

Liu G, Wu J, Dang C, Tan S, Peng K, Guo Y, Xing S, Xie C, Zeng J, Tang X.

Any publicació:

2022

Número de revista:

Neurorehabilitation and Neural Repair vol. 36 n. 1

https://journals.sagepub.com/doi/full/10.1177/15459683211054178

Article

Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Autor/s:

Tozlu C, Edwards D, Boes A, Labar D, Tsagaris KZ, Silverstein J, Pepper Lane H, Sabuncu MR, Liu C, Kuceyeski A.

Any publicació:

2020

Número de revista:

Neurorehabilitation and Neural Repair vol. 34 n. 5

https://journals.sagepub.com/doi/full/10.1177/1545968320909796

Article

National Institutes of Health Research Plan on Rehabilitation: Analysis and Progress.

Autor/s:

Jackson JN, Cernich AN.

Any publicació:

2020

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 101 n. 8

https://www.archives-pmr.org/article/S0003-9993(20)30271-9/fulltext

Article

Relationship Between Motor Level and Wheelchair Transfer Ability in Spina Bifida: A Study From the National Spina Bifida Patient Registry.

Autor/s:

McKernan G, Izzo S, Crytzer TM, Houtrow AJ, Dicianno BE.

Any publicació:

2020

Número de revista:

Archives of Physical Medicine and Rehabilitation. vol. 101 n. 11

https://www.archives-pmr.org/article/S0003-9993(20)30430-5/fulltext

Una iniciativa de:

Cercador

A Bayesian optimization approach for rapidly mapping residual network function in stroke.

A DATA MINING APPROACH TO IDENTIFY COGNITIVE NEUROREHABILITATION RANGE IN TRAUMATIC BRAIN INJURY PATIENTS

A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.

Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.

Decision Tree Analysis Accurately Predicts Discharge Destination After Spinal Cord Injury Rehabilitation.

Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.

Machine Learning for Predicting Motor Improvement After Acute Subcortical Infarction Using Baseline Whole Brain Volumes.

Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

National Institutes of Health Research Plan on Rehabilitation: Analysis and Progress.

Relationship Between Motor Level and Wheelchair Transfer Ability in Spina Bifida: A Study From the National Spina Bifida Patient Registry.

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