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Record W2346085082

GAMBARAN FUNGSI KOGNITIF PADA PASIEN PASCA STROKE DI POLIKLINIK SARAF RSUD ARIFIN ACHMAD PROVINSI RIAU

2016· article· id· W2346085082 on OpenAlexaboutno aff
Muslamiyah Hanas, Enny Lestari, Enikarmila Asni

Bibliographic record

VenueJurnal Online Mahasiswa Fakultas Kedokteran Universitas Riau · 2016
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsPolyclinicStroke (engine)NeurologyCognitive impairmentPediatricsMedicineMontreal Cognitive AssessmentCognitionPsychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Stroke is vascular disorders caused by occlusions or ruptures of the brain vessels. Cognitive impairment is results of the occurrence of stroke. This study aimed to describe the cognitive functions of post stroke patients in the Neurology Polyclinic of RSUD Arifin Achmad Riau Province.This study was descriptive study with cross sectional approach. The instrument in this research was Montreal Cognitive Assessment – Indonesian version (MoCA-INA). Samples of the study were post stroke patients who visited Neurology Polyclinic of RSUD Arifin Achmad Riau Province in the period of November – December 2015.This study used consecutive sampling method with total number was 41 respondents. The results showed that 92,68% of post stroke patients had cognitive impairment with the highest percentage at age >65 years old (34,14%), male (65,85%), education time ≤ 12 year (56,10%), ischemic stroke (78,05%), and stroke period >6 months (75,61%). As a conclusion, most of the post stroke patients in the Neurology Polyclinic of RSUD Arifin Achmad Riau Province showed cognitive impairments.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.272
Teacher spread0.252 · 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 designNot applicable
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

Citations7
Published2016
Admission routes1
Has abstractyes

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