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In the ClinicAugust 6, 2013Acute Gastrointestinal BleedingMeeta Prasad Kerlin, MD, MSCE, Jeffrey L. Tokar, MD, Deborah Cotton, MD, MPH, Darren Taichman, MD, PhD, and Sankey Williams, MDMeeta Prasad Kerlin, MD, MSCESearch for more papers by this author, Jeffrey L. Tokar, MDSearch for more papers by this author, Deborah Cotton, MD, MPHSearch for more papers by this author, Darren Taichman, MD, PhDSearch for more papers by this author, and Sankey Williams, MDSearch for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-159-3-201308060-01002 SectionsSupplemental MaterialAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Acute gastrointestinal (GI) bleeding is common in both the outpatient setting and the emergency department. Annual U.S. incidence rates over the past decade are approximately 90–108 per 100 000 persons (1), leading to approximately 300 000 hospitalizations annually. Most cases are due to nonvariceal sources of bleeding (e.g., peptic ulcers) and continue to be associated with significant mortality (3–14%) and health economic burden (1–3). The incidence of nonvariceal bleeding may be decreasing in the West largely because of decreased incidence of Helicobacter pylori infection and increased awareness and implementation of ulcer-prevention strategies in users of nonsteroidal anti-inflammatory drugs (NSAIDs) (1). ...References1. Hreinsson JP, Kalaitzakis E, Gudmundsson S, Björnsson ES. Upper gastrointestinal bleeding: incidence, etiology and outcomes in a population-based setting. Scand J Gastroenterol. 2013;48:439-47. [PMID: 23356751] Google Scholar2. Yavorski RT, Wong RK, Maydonovitch C, et al. Analysis of 3,294 cases of upper gastrointestinal bleeding in military medical facilities. 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Feuerstein, MD and Daniel A. Leffler, MD, MS August 6, 2013Volume 159, Issue 3Page: ITC2-1KeywordsAngiographyAnticoagulantsBloodBlood transfusionCoagulopathyColonoscopyEndoscopyGastrointestinal tractHemorrhageLesionsLigation assayMedical risk factorsNSAIDsOutpatientsPeptic ulcersResuscitationSigns and symptomsSmall intestineSurgeryUlcers ePublished: 6 August 2013 Issue Published: August 6, 2013 Copyright & PermissionsCopyright © 2013 by American College of Physicians. All Rights Reserved.PDF 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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,142 | 0,058 |
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 ».