Éditeur(s) : HAL CCSD ACM
Résumé : International audience
In 2008 a scientific paper written by Butz and al. investigated Matching in Learning Classifier Systems. Matching represents at least 65% of the computational time when executing a classifier system as reported in Llora and al. We propose to modify that encoding using a fast and accurate matching replacing standard matching algorithm for character-based classifier systems.
Proceedings of the 12th annual conference comp on Genetic and evolutionary computation
Portland, Oregon, United States

hal-00520610
https://hal.archives-ouvertes.fr/hal-00520610
DOI : 10.1145/1830761.1830820

Éditeur(s) : HAL CCSD
Résumé : Many works deal with the subsequence matching problem using automata structures. It is to decide, given two sequences $s$ and $t$, whether $s$ is a subsequence of $t$. Automata like the Directed Acyclic Subsequence Graph (DASG) or the Subsequence Automaton (SA) accept all subsequences of a set of texts. We focus on this last structure and provide some useful results upon dynamically updates of the SA. Indeed, sequences are indexed as soon as they are processed, allowing to dynamically add or to remove sequences from the set of indexed texts. Moreover, the highlight of these properties also makes it possible to update this automaton whenever a sequence of the set is modified.
https://hal.inria.fr/inria-00257567

inria-00257567
https://hal.inria.fr/inria-00257567
https://hal.inria.fr/inria-00257567/document
https://hal.inria.fr/inria-00257567/file/iSA.pdf

Éditeur(s) : HAL CCSD Public Library of Science
Résumé : International audience
BACKGROUND: Dengue and malaria are two major public health concerns in tropical settings. Although the pathogeneses of these two arthropod-borne diseases differ, their clinical and biological presentations are unspecific. During dengue epidemics, several hundred patients with fever and diffuse pain are weekly admitted at the emergency room. It is difficult to discriminate them from patients presenting malaria attacks. Furthermore, it may be impossible to provide a parasitological microscopic examination for all patients. This study aimed to establish a diagnostic algorithm for communities where dengue fever and malaria occur at some frequency in adults. METHODOLOGY/PRINCIPAL FINDINGS: A sub-study using the control groups of a case-control study in French Guiana - originally designed to compare dengue and malaria co-infected cases to single infected cases - was performed between 2004 and 2010. In brief, 208 patients with malaria matched to 208 patients with dengue fever were compared in the present study. A predictive score of malaria versus dengue was established using .632 bootstrap procedures. Multivariate analysis showed that male gender, age, tachycardia, anemia, thrombocytopenia, and CRP>5 mg/l were independently associated with malaria. The predictive score using those variables had an AUC of 0.86 (95%CI: 0.82-0.89), and the CRP was the preponderant predictive factor. The sensitivity and specificity of CRP>5 mg/L to discriminate malaria from dengue were of 0.995 (95%CI: 0.991-1) and 0.35 (95%CI 0.32-0.39), respectively. CONCLUSIONS/SIGNIFICANCE: The clinical and biological score performed relatively well for discriminating cases of dengue versus malaria. Moreover, using only the CRP level turned to be a useful biomarker to discriminate feverish patients at low risk of malaria in an area where both infections exist. It would avoid more than 33% of unnecessary parasitological examinations with a very low risk of missing a malaria attack.
ISSN: 1935-2727

inserm-00872353
http://www.hal.inserm.fr/inserm-00872353
http://www.hal.inserm.fr/inserm-00872353/document
http://www.hal.inserm.fr/inserm-00872353/file/journal.pntd.0002420.pdf
DOI : 10.1371/journal.pntd.0002420