An efficient information retrieval technique for e-health systems

M. Al-Qahtani, A. Amira, N. Ramzan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


In the health domain, the adoption of computer systems introduces better services, reduces human errors, and provides reliable services with nearly zero down time. In general, data in computer systems is stored in coded format; however, certain data, like user comments, cannot be coded. Hence, it is stored in the form of free text. Based on the results of the performed literature review, it was identified that the free text contains invaluable information; however, extracting such information is a challenging task due to the complexity of the stored data. In this paper, a Latent Semantic Indexing (LSI) algorithm is developed and applied on The Health Improvement Network (THIN). The algorithm utilizes the computational power provided by the multi-processor/multi-core system in performing the IR process. Further to that, the paper investigates the representation of the patient's data in the Term Document Matrix (TDM) to enhance the accuracy of the retrieved information.
Original languageEnglish
Title of host publicationInternational Conference on Systems, Signals and Image Processing (IWSSIP), 2015
Number of pages4
ISBN (Print)9781467383530
Publication statusPublished - 2015


  • electronic health records
  • health care
  • indexing
  • information retrieval
  • multiprocessing systems
  • text analysis
  • LSI algorithm
  • TDM
  • THIN
  • The Health Improvement Network
  • computer system data
  • e-health systems
  • free text
  • health domain
  • information extraction
  • information retrieval technique
  • latent semantic indexing
  • literature review
  • multicore system
  • multiprocessor system
  • patient data
  • stored data complexity
  • term document matrix
  • Accuracy
  • Instruction sets
  • Large scale integration
  • Semantics
  • Time division multiplexing
  • LSI
  • semantic


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