Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
Notice bibliographique
Résumé
It is our greatest pleasure to welcome you to the First ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments (HealthNet'07), co-located with ACM MobiSys 2007. We have put together an excellent technical program that we hope you will enjoy and that you take advantage of the excellent group of people that have come together for HealthNet 07. As the world's population grows older, healthcare and high-tech companies are joining forces. New technologies are being used to provide improved support for elderly and home bound people in their homes and in assisted living environments. The overall goal of these initiatives is to improve quality of life by providing customized support to people in need of assistance. The ultimate goal is a system that can adapt to the users' needs, helping them get through their daily routine in a way that is effective in providing support where needed without making them feel humiliated by excessive attention. To provide such support, it will be necessary to combine efforts from many areas of computer science, including networking, distributed systems, security, data management, HCI and middleware. The mission of the HealthNet workshop is to bring together researchers from both industry and academia from these different areas to provide a forum for discussing the cross-area interactions that will be necessary for successful systems and applications. HealthNet, therefore, gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of healthcare systems. After a very successful publicity phase, the response to the call for papers was extremely positive. We received a total of 45 submissions from 11 countries with papers from Asia, Canada, Europe, and the United States. These papers cover diverse topics from architectures and protocols to case-studies and real-world experiences. The selection of papers for this year's program was carried out by a 17 member international technical program committee. As a result of our review and discussion phase, a total of 13 full papers were accepted for presentation at the conference, which corresponds to a competitive acceptance rate of 28%. Additionally, we accepted 9 short papers to be presented as posters during the workshop.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 ».