Open Access
| Issue |
Cah. Myol.
Number 17, Juin 2018
|
|
|---|---|---|
| Page(s) | 24 - 29 | |
| Section | Mise au point / Focus | |
| DOI | https://doi.org/10.1051/myolog/201817007 | |
| Published online | 6 juin 2018 | |
- Augustine EF, Dorsey ER, Saltonstall PL. The care continuum: an evolving model for care and research in rare Diseases. Pediatrics 2017; 140. pii : e20170108. [CrossRef] [PubMed] [Google Scholar]
- Paganoni S, Nicholson K, Leigh F, et al. Developing multidisciplinary clinics for neuromuscular care and research. Muscle Nerve 2017; 56: 848–58. [CrossRef] [PubMed] [Google Scholar]
- Pearl PL, Sable C, Evans S, et al. International telemedicine consultations for neurodevelopmental disabilities. Telemed JE Health 2014; 20: 559–62. [CrossRef] [Google Scholar]
- Huze-Jacquesson C. Difficultés rencontrées par les médecins généralistes de la région Rhône-Alpes dans la prise en charge des maladies neuromusculaires, perspectives. Thèse de doctorat en médecine, Université Claude Bernard Lyon 1, mai 2016. [Google Scholar]
- Joyseeree R, Abou Sabha R, Mueller H. . Applying machine learning to gait analysis data for disease identification. Stud Health Technol Inform 2015; 210: 850–4. [PubMed] [Google Scholar]
- Alves R, Piñol M, Vilaplana J, et al. Computer-assisted initial diagnosis of rare diseases. PeerJ 2016; 4: e2211. [CrossRef] [PubMed] [Google Scholar]
- Martínez O, Jometón A, Pérez M, et al. Effectiveness of teleassistance at improving quality of life in people with neuromuscular diseases. Span J Psychol 2014; 17: E86. [CrossRef] [PubMed] [Google Scholar]
- Minvielle E. Santé numérique, enquête sur une révolution annoncée. Le Libellio d’Aegis 2015; 11: 13–30. [Google Scholar]
- Heuyer T, Pavan S, Vicard S. The health and life path of rare disease patients: results of the 2015 French barometer. Patient Related Outcome Measures 2017; 8: 97–110. [CrossRef] [PubMed] [Google Scholar]
- World health organization. From innovation to implementation - eHealth in the WHO European Region, 2016 (sur http://www.euro.who.int) [Google Scholar]
- Cour des comptes. Rapport Sécurité sociale 2017, chapitre VII - La télémédecine : une stratégie cohérente à mettre en œuvre, septembre 2017 (sur https://www.ccomptes.fr/) [Google Scholar]
- Vitacca M, Comini L, Tentorio M, et al. A pilot trial of telemedicine-assisted, integrated care for patients with advanced amyotrophic lateral sclerosis and their caregivers. J Telemed Telecare 2010; 16: 83–8. [CrossRef] [PubMed] [Google Scholar]
- Pinto A, Almeida JP, Pinto S, et al. Home telemonitoring of non-invasive ventilation decreases healthcare utilisation in a prospective controlled trial of patients with amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 2010; 81: 1238–42. [CrossRef] [PubMed] [Google Scholar]
- Vitacca M, Comini L, Assoni G, etal. Tele-assistance in patients with amyotrophic lateral sclerosis: long term activity and costs. Disabil Rehabil Assist Technol 2012; 7: 494–500. [CrossRef] [PubMed] [Google Scholar]
- Portaro S, Calabro RS, Bramanti P, etal. Telemedicine for facio-scapulo-humeral muscular dystrophy: a multidisciplinary approach to improve quality of life and reduce hospitalization rate? Disabil Health J 2017 Sep 21. pii : S1936–6574(17)30168–1. [Google Scholar]
- Zamarrón C, Morete E, González F. Telemedicine system for the care of patients with neuromuscular disease and chronic respiratory failure. Arch Med Sci 2014; 10: 1047–51. [CrossRef] [PubMed] [Google Scholar]
- Rojahn K, Laplante S, Sloand J, et al. Remote monitoring of chronic diseases: a landscape assessment of policies in four european countries. PLoS One 2016; 11: e0155738. [CrossRef] [PubMed] [Google Scholar]
- Bachasson D, Landon-Cardinal O, Benveniste O, et al. Physical activity monitoring: a promising outcome measure in idiopathic inflammatory myopathies. Neurology 2017; 89: 101–3. [CrossRef] [PubMed] [Google Scholar]
- Conseil national de l Ordre des médecins. Médecine et médecins à l’ère du numérique. Webzine no 5, juillet 2016 (sur https://www.conseil-national.medecin.fr) [Google Scholar]
- Van der Burgh HK, Schmidt R, Westeneng HJ, et al. Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis. Neuroimage Clin 2016; 13: 361–9. [CrossRef] [PubMed] [Google Scholar]
- Topalovic M, Laval S, Aerts JM, et al. 2017. Automated interpretation of pulmonary function tests in adults with respiratory complaints. Respiration, 93, 170–8. [CrossRef] [PubMed] [Google Scholar]
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