Text messaging and retrieval techniques for a mobile health information system

Mobile phones have been identified as one of the technologies that can be used to overcome the challenges of information dissemination regarding serious diseases. Short message services, a much used function of cell phones, for example, can be turned into a major tool for accessing databases. This p...

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Bibliographic Details
Published in:Journal of information science 2014-12, Vol.40 (6), p.736-748
Main Authors: Adesina, Ademola O., Agbele, Kehinde K., Abidoye, Ademola P., Nyongesa, Henry O.
Format: Article
Language:English
Subjects:
Algorithms
Cell phones
Cellular telephones
Exact sciences and technology
General aspects
Information and communication sciences
Information dissemination
Information retrieval
Information science. Documentation
Information systems
Messages
Recall
Retrieval
Sciences and techniques of general use
Searching
Short message service
Studies
Text messaging
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Summary:Mobile phones have been identified as one of the technologies that can be used to overcome the challenges of information dissemination regarding serious diseases. Short message services, a much used function of cell phones, for example, can be turned into a major tool for accessing databases. This paper focuses on the design and development of a short message services-based information access algorithm to carefully screen information on human immunodeficiency virus/acquired immune deficiency syndrome within the context of a frequently asked questions system. However, automating the short message services-based information search and retrieval poses significant challenges because of the inherent noise in its communications. The developed algorithm was used to retrieve the best-ranked question–answer pair. Results were evaluated using three metrics: average precision, recall and computational time. The retrieval efficacy was measured and it was confirmed that there was a significant improvement in the results of the proposed algorithm when compared with similar retrieval algorithms.
ISSN:0165-5515
1741-6485
DOI:10.1177/0165551514540400