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Record W2809122486

Determinación del índice aterogénico y evaluaciön del riesgo de sufrir infarto en mujeres integrantes del club de madres Carlos Manuel Cox – del distrito de Buenos Aires – febrero 2013”

2013· dissertation· es· W2809122486 on OpenAlexaboutno aff
Giovana Anabel Chávez Castro, Erinson Gerhald Custodio Plasencia

Bibliographic record

VenueUniversidad Nacional de Trujillo · 2013
Typedissertation
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMyocardial infarctionPopulationBlood pressureDemographyInternal medicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

The present research was aimed at determining the atherogenic index and Assess the Risk of Stroke in Women Members of the Mothers Club Carlos Manuel Cox-District of Buenos Aires - Montreal, in February 2013. The investigation arose from the observation of an increase in the percentage of women with heart disease, weight gain by, neglect by controlling your blood pressure and the influence of age and dietary habits and other styles life. We processed a total of 75 samples of blood plasma of women volunteers, and over 18 years. The results were stored in an Excel spreadsheet program with its own statistical analysis. Of which 44% of it had desirable total cholesterol, 32% moderately high and 24% a high level. Moreover serum HDL cholesterol level with 5% protective in volunteers, 59% of them at a desirable level and 36% high risk level. The results of the evaluation of suffering myocardial infarction according to the Framingham Score were 81.3% of the volunteers showed a very low risk, 10.7% of women subject to a low risk study and the remaining 8% of including a moderate risk of heart attack 10 years, so we conclude that the population is at a low percentage in coronary heart

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)0.002
metaresearch head score (Gemma)0.003
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 score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0050.001
Scholarly communication0.0000.001
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 head0.019
GPT teacher head0.348
Teacher spread0.329 · 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
Published2013
Admission routes1
Has abstractyes

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