An approach to web-based Personal Health Records filtering using fuzzy prototypes and data quality criteria
作者:
Highlights:
•
摘要
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.
论文关键词:Document filtering,Data quality,Web-based Personal Health Records,Fuzzy Deformable Prototypes
论文评审过程:Received 28 February 2010, Revised 16 November 2010, Accepted 4 February 2011, Available online 26 February 2011.
论文官网地址:https://doi.org/10.1016/j.ipm.2011.02.002