loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Lorena Pujante 1 ; Manuel Campos 1 ; 2 ; 3 ; Jose M. Juarez 1 ; 2 ; Bernardo Canovas-Segura 1 and Antonio Morales 1

Affiliations: 1 AIKE, Research Group, Faculty of Computer Science, University of Murcia, Spain ; 2 INTICO Research Institute, Spain ; 3 Murcian Bio-Health Institute (IMIB-Arrixaca), Spain

Keyword(s): Graph Analytics, Graph Database, Epidemiology, Infection Surveillance.

Abstract: Some of epidemiologists’ efforts in dealing with multi-resistant bacterial infections acquired in healthcare settings focus on tracing patient’s activities, carrying out a contact analysis, and identifying the main risk factors that lead the appearance of these infections. Most contact analysis studies assume information is stored in conventional relational databases. To date, little attention has been paid to other storage paradigms. This paper explores the potential of graph databases to establish the complex relations required to compute contact analysis. We discuss the advances in modelling of the temporal and the spatial information of the Electronic Health Record that has to be introduced in the graph database. In this position paper we propose three points for discussion: advances in formal modelling, specific algorithms for graph analysis, and visualisation tools.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.118.12.222

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pujante, L.; Campos, M.; Juarez, J.; Canovas-Segura, B. and Morales, A. (2021). Multi-resistant Bacterial Infection Surveillance using a Graph Database with Spatio-temporal Information. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 741-746. DOI: 10.5220/0010387207410746

@conference{healthinf21,
author={Lorena Pujante. and Manuel Campos. and Jose M. Juarez. and Bernardo Canovas{-}Segura. and Antonio Morales.},
title={Multi-resistant Bacterial Infection Surveillance using a Graph Database with Spatio-temporal Information},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF},
year={2021},
pages={741-746},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010387207410746},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF
TI - Multi-resistant Bacterial Infection Surveillance using a Graph Database with Spatio-temporal Information
SN - 978-989-758-490-9
IS - 2184-4305
AU - Pujante, L.
AU - Campos, M.
AU - Juarez, J.
AU - Canovas-Segura, B.
AU - Morales, A.
PY - 2021
SP - 741
EP - 746
DO - 10.5220/0010387207410746
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic