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Temporal Features in Biological Warfare
No matter how prepared a population may be, bioterrorism cannot be prevented: the first clues will always be given by ill people. Temporal analysis applied to this type of scenarios could be an additional tool for limiting disruption among civilians allowing for recognizing typical temporal progress...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121043/ http://dx.doi.org/10.1007/978-3-642-02282-1_46 |
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author | Badaloni, Silvana Falda, Marco |
author_facet | Badaloni, Silvana Falda, Marco |
author_sort | Badaloni, Silvana |
collection | PubMed |
description | No matter how prepared a population may be, bioterrorism cannot be prevented: the first clues will always be given by ill people. Temporal analysis applied to this type of scenarios could be an additional tool for limiting disruption among civilians allowing for recognizing typical temporal progression and duration of symptoms in first infected people. We propose the application of a fuzzy temporal reasoning system we have developed for biomedical temporal data analysis in different scenarios after a hypothetical attack. The system is able to handle both qualitative and metric temporal knowledge affected by vagueness and uncertainty, taking into account in this way the vagueness of patients reports expressed in natural language. |
format | Online Article Text |
id | pubmed-7121043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71210432020-04-06 Temporal Features in Biological Warfare Badaloni, Silvana Falda, Marco Fuzzy Logic and Applications Article No matter how prepared a population may be, bioterrorism cannot be prevented: the first clues will always be given by ill people. Temporal analysis applied to this type of scenarios could be an additional tool for limiting disruption among civilians allowing for recognizing typical temporal progression and duration of symptoms in first infected people. We propose the application of a fuzzy temporal reasoning system we have developed for biomedical temporal data analysis in different scenarios after a hypothetical attack. The system is able to handle both qualitative and metric temporal knowledge affected by vagueness and uncertainty, taking into account in this way the vagueness of patients reports expressed in natural language. 2009 /pmc/articles/PMC7121043/ http://dx.doi.org/10.1007/978-3-642-02282-1_46 Text en © Springer-Verlag Berlin Heidelberg 2009 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Badaloni, Silvana Falda, Marco Temporal Features in Biological Warfare |
title | Temporal Features in Biological Warfare |
title_full | Temporal Features in Biological Warfare |
title_fullStr | Temporal Features in Biological Warfare |
title_full_unstemmed | Temporal Features in Biological Warfare |
title_short | Temporal Features in Biological Warfare |
title_sort | temporal features in biological warfare |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121043/ http://dx.doi.org/10.1007/978-3-642-02282-1_46 |
work_keys_str_mv | AT badalonisilvana temporalfeaturesinbiologicalwarfare AT faldamarco temporalfeaturesinbiologicalwarfare |