TY - GEN
T1 - Text analytics evaluation on healthcare using elasticsearch
AU - Nikitopoulos, Panagiotis
AU - Themistocleous, Marinos
N1 - Publisher Copyright:
© Proceedings of the 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015. All rights reserved.
PY - 2015
Y1 - 2015
N2 - Due to the explosion in the amount of medical information available, search techniques are gaining much attention in the medical domain. These techniques have so far been applied exclusively to applications focusing on users with technical knowledge in the medical domain (i.e. doctors). Personal healthcare systems are emerging as the new standard way of treating patients these days. The fact that these systems can be used by non-medical related users, makes the Information Retrieval process even more challenging. In this paper we study the feasibility of implementing search engines on medical related information, for systems that can be used by members of the general public (i.e. patients). To this end, we propose a solution which handles complex text queries execution based on Elasticsearch. The proposed solution is tested for efficiency and effectiveness in the context of the Picnloud project.
AB - Due to the explosion in the amount of medical information available, search techniques are gaining much attention in the medical domain. These techniques have so far been applied exclusively to applications focusing on users with technical knowledge in the medical domain (i.e. doctors). Personal healthcare systems are emerging as the new standard way of treating patients these days. The fact that these systems can be used by non-medical related users, makes the Information Retrieval process even more challenging. In this paper we study the feasibility of implementing search engines on medical related information, for systems that can be used by members of the general public (i.e. patients). To this end, we propose a solution which handles complex text queries execution based on Elasticsearch. The proposed solution is tested for efficiency and effectiveness in the context of the Picnloud project.
KW - Elasticsearch
KW - Medical Information Retrieval
KW - Text Analytics
UR - https://www.scopus.com/pages/publications/85084022577
M3 - Conference contribution
AN - SCOPUS:85084022577
T3 - Proceedings of the 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015
BT - Proceedings of the 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015
A2 - Lambrinoudakis, Kostantinos
A2 - Morabito, Vincenzo
A2 - Themistocleous, Marinos
PB - European and Mediterranean Conference on Information Systems
T2 - 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015
Y2 - 1 June 2015 through 2 June 2015
ER -