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Record W4396521981 · doi:10.5737/23688076342238

ENSEIGNEMENT AUX PATIENTS : Counselling pour les patients atteints d’un cancer de la bouche

2024· article· fr· W4396521981 on OpenAlexvenueno aff
Salima Shams

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2024
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

L’objectif du présent article est de résumer les aspects centraux des soins aux patients atteints d’un cancer avancé de la bouche avec métastases dans la région de la tête et du cou. Ces patients sont traités par approche multimodale. L’intervention chirurgicale limite leur capacité de parler et d’avaler, tandis que la chimiothérapie et la radiothérapie peuvent entraîner nausées et vomissements, diarrhée, mucite, cystite, déshydratation, néphrotoxicité, dermatite, dépression médullaire et carences alimentaires entraînant une perte de poids. Il est possible de contrer ces effets toxiques à l’aide de mesures d’autosoins. Dans le cadre de leurs interventions d’enseignement, les infirmières en oncologie pourraient transmettre aux patients et aux familles les connaissances nécessaires à l’application de ces mesures d’autosoins. Mots-clés : cancer avancé de la bouche, cancer de la tête et du cou, counselling, mesures d’autosoins

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.041
GPT teacher head0.420
Teacher spread0.380 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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Same venueCanadian Oncology Nursing JournalSame topicHealth, Medicine and SocietyFrench-language works237,207