Home Modifications and Aging With Multiple Sclerosis: An Overview for Speech-Language Pathologists
Notice bibliographique
Résumé
No AccessPerspectives on GerontologyArticle1 Oct 2007Home Modifications and Aging With Multiple Sclerosis: An Overview for Speech-Language Pathologists Carrie Bruce Carrie Bruce Center for Assistive Technology and Environmental Access (CATEA), Georgia Institute of TechnologyAtlanta, GA Google Scholar More articles by this author https://doi.org/10.1044/gero12.1.12 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In References Balcer, L. J.,Baier, M. L.,Cohen, J. A.,Kooijmans, M. F.,Sandrock, A. W.,Nano-Schiavi, M. L.,Pfohl, D. C.,Mills, M.,Bowen, J.,Ford, C.,Heidenreich, F. R.,Jacobs, D. A.,Markowitz, C. E.,Stuart, W. H.,Ying, G. S.,Galetta, S. L.,Maguire, M. G., & Cutter, G. R. (2003). Contrast letter acuity as a visual component for the Multiple Sclerosis Functional Composite.Neurology, 61(10), 1367–1373. Google Scholar Bobholz, J., & Rao, S. (2003). Cognitive dysfunction in multiple sclerosis: A review of recent developments.Current Opinion in Neurology, 16(3), 283–288. Google Scholar Bruce C.Brush J.Calkins M. & Sanford J. A. (2007, February). Practice-based evidence and evidence-based practice: Measuring environmental barriers and facilitators to communication. Paper presented at the 8th annual conference of ASHA’s Division 12.Augmentive and Alternative Communication, Atlanta, GA. Google Scholar Bruce C.Calkins M.Sanford J. A.Brush J.Nguyen A.Pynoos J. et al. (2007, June). Multimedia education on home modifications. Paper presented at the 2nd International Conference on Technology and Aging.Toronto, ON, Canada. Google Scholar Bruce C. & Sanford J. A. (2007, June). Making decisions: Home modification assessments. Paper presented at the 2nd International Conference on Technology and Aging.Toronto, ON, Canada. Google Scholar Brush, J.,Meehan, R., & Calkins, M. (2002). Using the environment to improve intake for people with dementia.Alzheimer’s Care Quarterly, 3(4), 330–338. Google Scholar Cole, S.,Beck, R.,Moke, P.,Gal, R.,Long, D., & The Optic Neuritis Study Group. (2000). The National Eye Institute visual function questionnaire: Experience of the ONTT.Investigative Ophthalmology and Visual Science, 41, 1017–1021. Google Scholar Finlayson, M. (2005). Aging with MS.MS Focus, 7, 4–6. Google Scholar Finlayson, M., Van Denend, T., & Hudson, E. (2004). Aging with multiple sclerosis.Journal of Neuroscience Nursing, 36(5), 245–251. Google Scholar Halliday, A. M. (Ed.). (1993). The comparative value of the different evoked potentials and other paraclinical tests in the diagnosis and prognosis of demyelinating disease.In Evoked potentials in clinical testing (2nd ed., pp. 467–488). Edinburgh, Scotland: Churchill Livingstone. Google Scholar Halper, J.,Kennedy, P.,Miller, C.,Morgante, L.,Namey, M., & Ross, A. (2003). Rethinking cognitive function in multiple sclerosis: A nursing perspective.Journal of Neuroscience Nursing, 35(2), 70–81. Google Scholar IDEAS Inc. (2007). Home modifications for older adults. Retrieved June1, 2007, from http://www.homemods.org/index.shtml Google Scholar Information Resource Center and Library of the National Multiple Sclerosis Society. (2005). The multiple sclerosis information sourcebook. Retrieved June1, 2007, from http://main.nationalmssociety.org/docs/HOM/opticneuritis.pdf Google Scholar Jones, S. J.,Sprague, L., & Vaz Pato, M. (2002). Electrophysiological evidence for a defect in the processing of temporal sound patterns in multiple sclerosis.Journal of Neurology, Neurosurgery & Psychiatry, 73(5), 561–567. Google Scholar Klugman, T. M., & Ross, E. (2002). Perceptions of the impact of speech, language, swallowing, and hearing difficulties on quality of life of a group of South African persons with multiple sclerosis.Folia Phoniatrica et Logopedica, 54(4), 201–221. Google Scholar Kujala, P.,Portin, R., & Ruutiainen, J. (1996). Language functions in incipient cognitive decline in multiple sclerosis.Journal of the Neurological Sciences, 141(1-2), 79–86. Google Scholar Marangos, N. (1996). Hearing loss in multiple sclerosis: Localization of the auditory pathway lesion according to electrocochleographic findings.Journal of Laryngology & Otology, 110(3), 252–257. Google Scholar Minden, S.,Frankel, D.,Hadden, L. S.,Srinath, K. P., & Perloff, J. N. (2004). Disability in elderly people with multiple sclerosis: An analysis of baseline data from the Sonya Slifka Longitudinal Multiple Sclerosis Study.NeuroRehabilitation, 19(1), 55–67. Google Scholar Minden, S.,Marder, W. D.,Harrold, L. N., & Dor, A. (1993). Multiple sclerosis—A statistical portrait: A compendium of data on demographics, disability, and health services utilization in the United States. Cambridge, MA: Abt Associates. Google Scholar Rao, S. (2001). Cognitive impairment in multiple sclerosis [Electronic version].Retrieved June1, 2007, from http://www.healthology. com/multiple-sclerosis/article104.htm Google Scholar Rao, S.,Leo, G.,Bernardin, L., & Unverzagt, F. (1991). Cognitive dysfunction in multiple sclerosis: I. Frequency, patterns and predictions.Neurology, 41, 658–691. Google Scholar Rao, S.,Leo, G.,Ellington, L.,Nauertz, T.,Bernardin, L., & Unverzagt, F. (1991). Cognitive dysfunction in multiple sclerosis: II. Impact on employment and social functioning.Neurology, 41, 692–696. Google Scholar The Optic Neuritis Study Group. (1997). Optic Neuritis Study Group: Visual function 5 years after optic neuritis: Experience of the Optic Neuritis Treatment Trial.Archives of Ophthalmology, 115(12), 1545–1552. Google Scholar University of Maryland Medical Center. (2002). Multiple sclerosis. Retrieved June1, 2007, from http://www.umm.edu/patiented/articles/how_serious_multiple_sclerosis_000017_6.htm Google Scholar Additional Resources FiguresReferencesRelatedDetails Volume 12Issue 1October 2007Pages: 12-17 Get Permissions Add to your Mendeley library History Published in issue: Oct 1, 2007 Metrics Downloaded 57 times Topicsasha-topicsasha-article-typesasha-sigsCopyright & Permissions© 2007 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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,009 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».