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Record W2358267131

Analysis of Cognitive Function in Patients with Ischemic Cerebrovascular Disease

2011· article· en· W2358267131 on OpenAlexaboutno aff
Zongjun Guo

Bibliographic record

VenueXiandai shengwu yixue jinzhan · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionMedicineDiseaseRisk factorStroke (engine)Internal medicineIschemic strokeCardiologyRating scalePsychologyIschemiaPsychiatryDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

Objective:To investigate the cognitive ability of patient with ischemic cerebrovascular disease.Method:60 patients with ischemic cerebrovascular disease were rated by stroke risk evaluation subscale,20 patients are in low-risk group,22 patients are in medium-risk group and 18 patients are in high-risk group;Montreal scale is used to conduct cognitive function assessment.Result:(1) There's significant difference in visual space,executive function,attentiveness,calculating ability,abstract generalization ability,naming ability,memory ability ability,time orientation ability among low-risk group,medium-risk group and low-risk group(P0.05).(2) Rating of various cognitive function was negatively related with analysis of blood vessel factor,age,TIA,stroke,high blood pressure and various ratings of MOCA.Conclusion:Cognitive impairment is more obvious for patients with ischemic cerebrovascular disease along with increasing dangerous factors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.209
Teacher spread0.189 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2011
Admission routes1
Has abstractyes

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