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Record W2611843489 · doi:10.5539/gjhs.v9n8p40

Glaucoma Awareness and Knowledge among Jordanian People

2017· article· en· W2611843489 on OpenAlexvenueno aff
Khalid Al-Zubi, Fawaz Sarayrah, Mahmoud Al-Awaishah

Bibliographic record

VenueGlobal Journal of Health Science · 2017
Typearticle
Languageen
FieldComputer Science
TopicDigital Imaging for Blood Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsGlaucomaBlindingMedicineBlindnessAsymptomaticOptometryDiseaseFamily medicineOphthalmologySurgeryPathology

Abstract

fetched live from OpenAlex

Glaucoma, a preventable condition, is the second leading reason behind blindness globally. The asymptomatic type of glaucoma is the most prevalent type, which explains the late presentation and diagnosis. The objective of the study has been developed to assess the levels of awareness about glaucoma among Jordanian people. This is a national study comprising of 511 subjects, aged 20 years and above. The participants were asked to fill the survey forms after signing the consent to the study. The results of the study revealed that 147 individuals (28.77%) were completely unaware of glaucoma, and 249 individuals (48.73%) had low level of knowledge about glaucoma. 77.5% of the subjects were either unaware or partial level of knowledge about the condition; however, they displayed an acceptable level of awareness. The outcomes among Jordanian people explained the delayed diagnosis of this blinding disease in the country. There is a need of proper educational strategies to educate Jordanian people about glaucoma.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.339
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2017
Admission routes1
Has abstractyes

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