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Identification of incident dementia with a case passive follow-up in a cohort of 1693 subjects in Northern Italy: reliability of a classification algorithm querying the health information system

Poster
Data di Pubblicazione:
2016
Abstract:
Health Informative Systems constitute a powerful resource to produce epidemiological results from large scale population-based studies. Scientifi c literature reports an increasing number of studies investigating through their use different health outcomes. Aim of this study was to evaluate the reliability of an algorithm in identifying Dementia cases from Health Information System of ASLMi1 (HIS-Mi1) by comparing the observed incidence with the expected in the general European population (EuroDem)
Tipologia CRIS:
04.03 Poster in Atti di convegno
Keywords:
Classification Algorithm; Dementia; Health Information System
Elenco autori:
Adorni, FULVIO DANIELE; Prinelli, Federica; Musicco, Massimo
Autori di Ateneo:
ADORNI FULVIO DANIELE
PRINELLI FEDERICA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/336816
Pubblicato in:
JOURNAL OF ALZHEIMER'S DISEASE
Journal
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