Factors Influencing Quality of Life in Individuals With Head and Neck Cancer
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Résumé
No AccessPerspectives on Voice and Voice DisordersArticle1 Jul 2006Factors Influencing Quality of Life in Individuals With Head and Neck Cancer Tanya L. Eadie, Candace Myers, Paul G. Beaudin and Philip C. Doyle Tanya L. Eadie Department of Speech and Hearing Sciences, University of Washington Seattle, WA Google Scholar More articles by this author , Candace Myers CancerCare Manitoba, Winnipeg, Manitoba, Canada Google Scholar More articles by this author , Paul G. Beaudin Doctoral Program in Rehabilitation Sciences, University of Western Ontario London, Ontario, Canada Google Scholar More articles by this author and Philip C. Doyle Doctoral Program in Rehabilitation Sciences, University of Western Ontario London, Ontario, Canada Google Scholar More articles by this author https://doi.org/10.1044/vvd16.2.19 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In References American Cancer Society. (2005). 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Google Scholar Additional Resources FiguresReferencesRelatedDetails Volume 16Issue 2July 2006Pages: 19-24 Get Permissions Add to your Mendeley library History Published in issue: Jul 1, 2006 Metrics Downloaded 46 times Topicsasha-topicsasha-article-typesasha-sigsCopyright & Permissions© 2006 American Speech-Language-Hearing AssociationPDF DownloadLoading ...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».