aprendizaje automático

Luvizutto GJ, Silva GF, Nascimento MR, Sousa Santos KC, Appelt PA, de Moura Neto E, de Souza JT, Wincker FC, Miranda LA, Hamamoto Filho PT, de Souza LAPS, Simões RP, de Oliveira Vidal EI, Bazan R.

Any publicació:

2022

Número de revista:

Topics in Stroke Rehabilitation vol. 29 n. 5

https://www.tandfonline.com/doi/full/10.1080/10749357.2021.1926149

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

Una iniciativa de:

Cercador

Prognosticating Prosthetic Ambulation Ability in People With Lower Limb Amputation in Early Post-operative Phase.

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

Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept.

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.

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