To provide robust healthcare services and personalized recommendations details relating to a patient's daily life activities, profile information, and personal experience is of vital importance. This paper focuses on improvement in general health status of elderly patients through the use of an innovative service which align dietary intake with activity information. Personalized healthcare services based on the patient's activities of daily living and their shared experience, are provided as outputs. A knowledge driven approach has been used where all the daily life activities, social interactions, and profile information are modeled in an ontology. The semantic context is exploited that enables fine-grained situation analysis for recommendation of personalized services and decision support. Preliminary experimental results for the dynamic nature of the systems and its corresponding personalized recommendations have been found to be encouraging.
|Title of host publication||2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)|
|Number of pages||6|
|Publication status||Published - 2012|
|Event||2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) - Rome, Italy|
Duration: 20 Jun 2012 → 22 Jun 2012
|Conference||2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)|
|Period||20/06/12 → 22/06/12|