Genitsaridi I, Chiarugi F, Marias K, Tsiknakis M, Coppini G, Morales M, Marraccini P, Giorgi D, Pascali M A
Modeling Clustering Health data
This document reports on the activities performed in Task 6.1 "User's profiling". The reported activities on this task have been undertaken between month 1 and 18 of the project. The task was ended in month 18 with the release of this deliverable D6.1 "User's profiling tools". The accurate definition of the user's profile is necessary to set, for each subject, a reliable starting point for the wellness status assessment. Many medical and behavioural data such as: age, height, weight, cholesterol level, phenotype, habits, sports, others may influence the user's profile. Also the psychological information, such as anxiety, stress, and attitude towards health issues should be taken into account because of their strong relevance in the choice of the support to be provided by the system.
@misc{oai:it.cnr:prodotti:368944, title = {SEMEOTICONS - D6.1 User's profiling tools}, author = {Genitsaridi I and Chiarugi F and Marias K and Tsiknakis M and Coppini G and Morales M and Marraccini P and Giorgi D and Pascali M A}, year = {2015} }
SEMEOTICONS
SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring