Information retrieval models : performance, evaluation and comparisons for healthcare big data analytics

Kenan Matawie, Sargon Hasso

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

![CDATA[We propose analysis, performance and evaluation of different Information retrieval models with a foundational implementation system to the Healthcare Data Analytics. In this type of systems, patients post questions to patient/ caregiver support forums. To reduce repetitiveness due to previously asked questions by other patients with similar conditions, albeit worded differently, the proposed system will other patients questions that are semantically similar to theirs. The problem is re-formulated as an Information Retrieval (IR) problem and several of the modern implementations of IR models particularly the probabilistic models are available to tackle this problem. Specifically, we utilized Lucene which offers a full-text search library by adding search functionality to our foundational model and system implementation.]]
Original languageEnglish
Title of host publicationProceedings of the 31st International Workshop on Statistical Modelling, July 4-8, 2016, Rennes, France
PublisherCentre Henry Lebesgue, Centre de Mathematiques
Pages207-212
Number of pages6
Publication statusPublished - 2016
EventInternational Workshop on Statistical Modelling -
Duration: 4 Jul 2016 → …

Conference

ConferenceInternational Workshop on Statistical Modelling
Period4/07/16 → …

Keywords

  • information retrieval
  • big data
  • data mining
  • medical informatics
  • statistics

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