[Prospects for the renovation of the medical system for tuberculosis and human resource development in the near future].
Notice bibliographique
Résumé
The status of tuberculosis (TB) in Japan was changed to decline and decreased dramatically after The World War II with the great nationwide efforts. Along with the decrease of TB people's attentions to tuberculosis has been reducing significantly, including the medical personnel. In the 1990s, TB returned to increase again, then Emergency Declaration against TB by Minister of Health and Welfare in 1999 drew the public attentions to TB again. Unfortunately, however, there have been many hospitals that cannot deal with TB properly. On the other hand, non-tuberculous mycobacteriosis (NTM) is increasing recently, which bothers many physicians or pulmonologists. "Japanese Respiratory Society" (JRS) was founded as "Japan Society of Chest Diseases" derived from "Japanese Society for Tuberculosis" (JSTB) in 1961, when almost all the members were the members of both the Societies. Now, after 50 years of JRS foundation, only one in four members of JRS may join to JSTB. However, the needs for training opportunities about TB and NTM do exist indeed, which is suggested by the fact that "Tuberculosis course", the joint program with JSTB, held in every annual JRS meeting has been filled with a lot of standing audience. In order to support these needs for training about TB, JSTB began the Certification System for TB and NTM in 2011. More than 1,000 certified physicians were born so far. In addition, the decreased number of JSTB members has returned to increase significantly. The most important challenge is to make a future countermeasure against TB and NTM, and also to promote the development of human resources based on the current situation and forecast of TB. This symposium was planned along the theme of this congress, "TB control for the next generation" in response to the wishes of the Congress President Dr. Yamagishi. On behalf of the Ministry of Health, Labour and Welfare, Dr. Yoshizawa talked about the future measures and challenges, and the human resource development for the future, based on the current situation of the medical system for tuberculosis. Dr. Fujita, the chairman of the committee of the certification system, talked about the JSTB Certification System, and the prospect of the human resource development. Dr. Nagai talked about the training opportunities for TB and NTM such as the "Educational seminar" in the annual meeting of JSTB or the "Tuberculosis course" in the annual meeting of JRS. Nurse and the Public health nurse are also the important members of the medical team for TB. Ms. Nagata talked about the human resources development of nurse responsible for tuberculosis care. Finally, Dr. Kudo, who originally proposed the JSTB Certification System as the chairman of the future planning committee, addressed the history and the foresights of the near future medical care system for TB as a special remark. We wish all the members may share the prospects of future medical care for TB and NTM, which may help for improving the future medical system.
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 | 0,005 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,005 | 0,007 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,013 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,037 | 0,019 |
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 ».