0000000000652625

AUTHOR

A Acosta

showing 2 related works from this author

VegItaly: Technical features, crucial issues and some solutions

2012

VegItaly is at present the largest Italian vegetation database. It is the result of a collaborative project aspiring to represent a major reference for the Italian vegetation scientists. The paper emphasizes its benefits for phytosociological data management and describes the solutions adopted to solve several technical problems, like the treatment of different vegetation stratification systems, the conversion of vegetation cover values, taxonomic and syntaxonomic issues, data import and access. The structure of the taxonomic list produced to support the storing of data is described. It allows an easy management of synonymic relationships and is constantly updated according to new publicati…

Data sharing; Ecoinformatics; Italian vegetation database; Phytosociology; Syntaxonomy; Taxonomic listVegetation plot; Forestry; Ecology Evolution Behavior and Systematics; Ecology; Plant ScienceEcologyEvolutionDATABASEdata sharingItalian vegetation databasephytosociologyForestrydata sharing ecoinformatics Italian vegetation database phytosociology syntaxonomy taxonomic list vegetation plotPlant Scienceecoinformaticstaxonomic listBehavior and Systematicsvegetation sciencedata sharing; ecoinformatics; italian vegetation database; phytosociology; syntaxonomy; taxonomic list; taxonomic listvegetation plot; vegetation plotSettore BIO/03 - Botanica Ambientale E Applicatasyntaxonomytaxonomic listvegetation plotvegetation plot
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Evaluation of appendicitis risk prediction models in adults with suspected appendicitis.

2019

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (pro…

AdulthumanosDecision MakingRisk AssessmentNOapendicectomíaapendicitisevaluación de riesgosAppendectomyHumanshospitalGeneralcollaborativeLS7_4right iliac fossa; appendicitis; collaborativeemergency serviceOriginal Articlesadultoright iliac fossaAppendicitisadult; appendectomy; appendicitis; humans; risk assessment; decision making; emergency service; hospitalLower GIOriginal Articleappendicitis prediction models right iliac fossa painEmergency Service Hospitaltoma de decisiónThe British journal of surgery
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