An ontological approach towards psychological profiling of breast cancer patients in pervasive computing environments

Pervasive computing has presented new unobtrusive patient monitoring solutions through the use of intelligent wearable devices and environmental sensors. In this work, we study the problem of psychological patient profiling in the context of pervasive computing environments. This paper is focused on the particular case of profiling breast cancer patients. Essentially, we present an ontological solution able to represent the psychological profile of breast cancer patients and we analyze the methodological approach to assess the patient's psychological state based on his profile. In addition, we distinguish the various types of information in the patient profile and study the possibility of collecting this information from unobtrusive monitoring solutions instead of the current, exhaustive process of filling clinical questionnaires.