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Record W7024187990

Reabilitação neurocognitiva dos processos atencionais e mnésicos em casos de acidente vascular cerebral com utilização de ambientes virtuais

2014· dissertation· pt· W7024187990 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Científico Lusófona (Grupo Lusófona) · 2014
Typedissertation
Languagept
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionContext (archaeology)Ischemic strokeStroke (engine)Wechsler Adult Intelligence Scale
DOInot available

Abstract

fetched live from OpenAlex

O Acidente Cerebral Vascular (AVC) é considerado um dos défices neurológicos agudos mais comuns e das principais causas de morte em Portugal. Neste sentido, a tónica da reabilitação incide na reaquisição das capacidades cognitivas afectadas. Com efeito, o objectivo do presente estudo é verificar o impacto do plano de reabilitação cognitiva com recurso à Realidade Virtual no desempenho cognitivo de um grupo de utentes do Centro de Medicina de Reabilitação de Alcoitão, com diagnóstico de AVC após oito sessões de treino e estimulação cognitiva. A amostra clínica é constituída por nove sujeitos (N=9) com uma média de idades de 52,67 anos (DP=14,70) dos quais três são mulheres (N=3; 33,3%) e seis são homens (N=6; 66,7%). Os resultados desta investigação revelaram uma diferença estatisticamente significativa entre os dois momentos da avaliação neuropsicológica Montreal Cognitive Assessment (Z=-2,524; p= ,012) e da Wechsler Memory Scale (Z= -2,666; p= ,008). Com base nos resultados obtidos, verificou-se que os ambientes virtuais têm no processo de reabilitação cognitiva. Neste sentido, urge a necessidade de instaurar planos desta natureza nos hospitais e centros de reabilitação, de modo a proporcionar a reaquisição das funções cognitivas lesadas e consequente melhoria da qualidade de vida dos utentes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.275
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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