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Comparative Studies of Information Retrieval Approaches in User-Centered Health Information System

  • Ibrahim Umar Kontagora
  • Isredza Rahmi A. Hamid
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 700)

Abstract

In this paper, a comparative studies of different methods deployed in addressing problems of user-centered health information retrieval systems were investigated. The reason for the comparative studies is to identify the approach that best addressed the readability and vocabulary mismatched issues encountered by laymen patients and their relatives in exploring information extracted from medical discharge documents and clinical reports online. We discussed and presented the performance of information retrieval systems in previous research works. We concentrated on classifying and comparing the three approaches used in health information retrieval which are Vector Space Model (VSM), Language Based Approach Model (LM) and Context Based Approach (CBA). The usefulness of incorporating controlled vocabularies such as Metamap, UMLS, external, MeSH, etc. was extensively discussed. The result shows that the Language Based Approach systems achieved better results as compared to the Vector Space Model Approach and Context Based Approach Systems. The Language Based Approach Systems managed to acquire 0.4146, 0.7560 and 0.7445 for Mean Average Precision, Precision @ 10 and Normalized Discontinued Cumulative Gains @ 10 respectively. Hence, we conclude based on the outcome of the comparative studies and our experimental results that the language modeling models is best suited to be deployed in addressing the problems of returning relevant information by user centered health information retrievals to users.

Keywords

Language models Vector space models concept-based approach External medical resource Query expansion 

Notes

Acknowledgements

The authors express appreciation to the Universiti Tun Hussein Onn Malaysia (UTHM). This research is supported by Short Term Grant vot number U653 and Gates IT Solution Sdn. Bhd. under its publication scheme.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Ibrahim Umar Kontagora
    • 1
    • 2
  • Isredza Rahmi A. Hamid
    • 1
  1. 1.Faculty of Computer Science and Information TechnologyInformation Security Interest Group (ISIG), Universiti Tun Hussein OnnParit RajaMalaysia
  2. 2.Department of Computer ScienceNiger State PolytechnicZungeruNigeria

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