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EnglishIn epidemiology spatio-temporal data may represent surveillance data and origins of diseases. In order to better exploit these data, temporal and spatial dimensions could be managed considering them as meta-data useful to retrieve classical data. In this paper, we propose to use a framework for spatio-temporal granularities with the aim to improve the querying of clinical spatio-temporal data. We show how granularities can be used to enrich a psychiatric case register. We exemplify our approach reporting spatio-temporal queries, based on granularities, useful for epidemiological studies.
| Titolo: | Dealing with multigranular spatio-temporal databases to manage psychiatric epidemiology data |
| Autori: | |
| Data di pubblicazione: | 2012 |
| Abstract: | In epidemiology spatio-temporal data may represent surveillance data and origins of diseases. In order to better exploit these data, temporal and spatial dimensions could be managed considering them as meta-data useful to retrieve classical data. In this paper, we propose to use a framework for spatio-temporal granularities with the aim to improve the querying of clinical spatio-temporal data. We show how granularities can be used to enrich a psychiatric case register. We exemplify our approach reporting spatio-temporal queries, based on granularities, useful for epidemiological studies. |
| Handle: | http://hdl.handle.net/11562/428352 |
| ISBN: | 978-1-4673-2051-1 |
| Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
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