Leveraging dynamic user profiles for the assistance of anxiety disorders' treatment using inferential rules.
While anxiety disorders exhibit an impressive spread especially in western societies, context-awareness seems a promising technology to provide assistance to physicians in psychotherapy sessions. In the present paper an approach addressing the assistance of the anxiety disorders' treatment is proposed. The suggested method employs the a priori association rule mining algorithm in order to achieve dynamic update of patient profiles according to generated rules describing the underlying relations between patients' main context conditions and their stress level. This method was evaluated by therapists specializing in the mental health domain and the feedback received was very encouraging with respect to the assistance dynamic patient profiles offer, during CBT sessions.
Panagiotakopoulos
Theodor C
TC
Wire Communications Laboratory, Electrical & Computer Engineering Department, University of Patras, Greece, GR-26500. teop@wcl.ee.upatras.gr
Lyras
Dimitrios P
DP
Manolessos
George M
GM
Lymberopoulos
Dimitrios K
DK
Sgarbas
Kyriakos N
KN
D000465:Algorithms; D001008:Anxiety Disorders / Q000523:psychology / Q000628:therapy*; D006801:Humans; D013315:Stress, Psychological