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Record W2980096757

지역사회 거주 뇌졸중 환자의 인지·신체기능에 따른 활동수준과 생활만족도

2019· article· ko· W2980096757 on OpenAlexaboutno aff
정혜림, 김희정, 이춘엽

Bibliographic record

VenueThe Journal of Korean Society of Occupational Therapy · 2019
Typearticle
Languageko
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionOrientation (vector space)PsychologyStroke (engine)Activities of daily livingPhysical medicine and rehabilitationExecutive functionsPhysical therapyGerontologyMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective: The purpose of this study is to examine the level of leisure and social activities, IADL, and life satisfaction of stroke patients residing in a local community according to their cognitive and physical functions.Methods: The subjects of the study were 159 stroke patients. For testing, a Korean-Montreal Cognitive Assessment, an Outpatient Physical Therapy Movement Log, a Korean Activity Card Sort, and a life satisfaction level questionnaire were used. The Pearson's correlation and a multi-regressive analysis were also applied.Results: Regarding the influences on the general activity level, the visuospatial executive functions, orientation, attention, abstraction, and lower limbs each had a significant influence. Regarding the IADL of the activity level, the visuospatial executive functions, orientation, attention, and lower limbs had a significant influence. For leisure, the orientation, abstraction, trunk, and lower limbs had a significant influence.Conclusion: It is expected that if an occupational therapy program considering segmented cognitive and physical functions is applied, it will be helpful to improve the activity levels and life satisfaction of stroke patients in a local community.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.170
GPT teacher head0.401
Teacher spread0.231 · 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; a candidate call from one teacher head, not a consensus.

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
Published2019
Admission routes1
Has abstractyes

Explore more

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