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Dépistage et prévention cardiovasculaire mobile dans la population : utile en Suisse ?

2024· article· fr· W4392510924 on OpenAlexaff
Paul Tarteret, David J.T. Campbell, Sophie Vassaux, John O. Prior, Roger Darioli, David Nanchen

Bibliographic record

VenueRevue Médicale Suisse · 2024
Typearticle
Languagefr
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePsychological interventionHealth careHealth promotionGynecologyPublic healthNursingPolitical science

Abstract

fetched live from OpenAlex

Mobile cardiovascular prevention interventions are still uncommon in Switzerland. Mobile clinics improve access to prevention and enable new diagnoses of hypertension or hypercholesterolemia to be identified in a cost-effective way and has shown benefits in health behaviors such as physical activity, smoking cessation and medication compliance. The Unisanté Bus Santé is a mobile clinic run by nurses that offers screening for cardiovascular risk factors, health advice and, if necessary, referral to medical care. Mobile health initiatives such as the Bus Santé could play a more important role in the Swiss healthcare system, bringing personalized preventive care closer to the population.

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)0.005
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 categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.003

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 head0.396
Teacher spread0.376 · 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
GenreReview

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

Citations1
Published2024
Admission routes1
Has abstractyes

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