Text analytics evaluation on healthcare using elasticsearch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015
EditorsKostantinos Lambrinoudakis, Vincenzo Morabito, Marinos Themistocleous
PublisherEuropean and Mediterranean Conference on Information Systems
ISBN (Electronic)9789606897085
Publication statusPublished - 2015
Externally publishedYes
Event12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015 - Athens, Greece
Duration: 1 Jun 20152 Jun 2015

Publication series

NameProceedings of the 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015

Conference

Conference12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015
Country/TerritoryGreece
CityAthens
Period1/06/152/06/15

Keywords

  • Elasticsearch
  • Medical Information Retrieval
  • Text Analytics

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