The optimal size of attributor for use with the University of Manchester Drug Misuse Database.
This paper describes the anonymous, attributable code which is applied to different individuals when they are reported to the regional drug misuse databases using the University of Manchester system.
It then reports on the effect of removing selected data items included in the attributor on the system's ability to distinguish between different drug users reported to the database.
All of the attributable codes that did not use the full set of data items were found to reduce the system's ability to distinguish between the reporting of new drug users and new episodes of drug use for users previously reported to the database.
Mots-clés Pascal : Base donnée, Toxicomanie, Alcoolisme, Royaume Uni, Europe, Etude critique, Méthodologie, Notation, Antécédent, Homme, Collecte donnée, Profil clinique
Mots-clés Pascal anglais : Database, Drug addiction, Alcoholism, United Kingdom, Europe, Critical study, Methodology, Notation, Antecedent, Human, Data gathering
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0470367
Code Inist : 002B18H05B. Création : 10/04/1997.