An approach to web-based Personal Health Records filtering using fuzzy prototypes and data quality criteria

  • Authors:

  • Francisco P. Romero;Ismael Caballero;Jesus Serrano-Guerrero;Jose A. Olivas

  • Affiliations:

  • Dept. of Information Technologies and Systems, University of Castilla La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain;Dept. of Information Technologies and Systems, University of Castilla La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain;Dept. of Information Technologies and Systems, University of Castilla La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain;Dept. of Information Technologies and Systems, University of Castilla La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2012

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Abstract

Nowadays, new ways of managing and accessing to health-care information are continuously appearing. Web-based Personal Health Records (web PHRs) have the potential to make data about health-care available to clinicians, researchers and students in different medical contexts and applications. Therefore, the amount of web PHRs accessible through Internet has grown enormously and as a result health-care professionals are currently burdened with more and more data. It's probable that these data, unfortunately, have not always the adequate levels of quality, making that their work cannot always be as successful as expected. As a way of alleviating this fact, the present work is focused on improving the document filtering results in the context of web PHRs management. To achieve this goal, a new kind of document filtering model is proposed. This model is based on fuzzy prototypes which are defined by means of conceptual prototypes. These prototypes are obtained by using a data quality analysis of documents. This analysis guarantees that filtered information will be relevant enough for the information user. The complete model provides an efficient strategy of document filtering that can be very useful when it is necessary to deal with a constant flow of new information.