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)

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

Adorni F;Prinelli F;Musicco M
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)
2016
Istituto di Tecnologie Biomediche - ITB
Inglese
XI Convegno Nazionale SINDEM
52
S33
S33
1
Sì, ma tipo non specificato
17-19/03/2016
Firenze (Italy)
Classification Algorithm
Dementia
Health Information System
none
info:eu-repo/semantics/conferenceObject
Adorni, F; Prinelli, F; Musicco, M
275
04 Contributo in convegno::04.03 Poster in Atti di convegno
3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/336816
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