Codice | 08/2011 |
Titolo | Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses |
Data | 2011-02-17 |
Autore/i | Ieva, F.; Paganoni, A.M.; Secchi, P. |
Link | Download full text | Pubblicato | Advances in Theoretical and Applied Statistics (eds: F. Pesarin, S.Torelli), chap 38: 415-424. Springer-Verlag Berlin Heidelberg |
Abstract | We present a pilot data mining analysis on the subset of the Public Health Database of Lombardia Region concerning hospital discharge data relative to Acute Myocardial Infarctions without ST segment elevation (NON-STEMI). The analysis is carried out using non linear semi parametric and parametric mixed effects models, in order to detect different patterns of growth in the number of NON-STEMI
diagnoses within the 30 largest clinical structures of Lombardia Region, along the time period 2000-2007. The analysis is a seminal example of statistical support to decision makers in clinical context, aimed at monitoring the diffusion of new procedures and the effects of health policy interventions. |
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