Résumé:
E-health technologies can play a major role in
improving the lives of patients and especially with chronic
diseases, these technologies can provide quality care at a distance
without consulting their doctor regularly. These technologies
provide many benefits for all stakeholders: patients and health
providers to patients, the main advantage of e-health is remote
access of this information, and communications services as well
as communication. Directly with professionals and health services
without having to travel to doctors. For providers of health, the
main advantages of e-health is improving access to real patient
data remotely and improve the quality of their decision and their
services through systems help in the decision.
We propose in this paper to compare the two techniques of data
mining association rules and decision trees in discussing their
advantages and limitations depending on the efficiency, accuracy
and timeliness in real time. Our discussion leads us to propose a
new solution of a system of monitoring and suggestion based on
the hybrid use of association rules and decision trees where the
association rules in first phase is used to generate the relevant
relationships for a homogeneous group of patients who share the
same profile and the second phase involves generating a decision
tree for each group of patients, from medical relationships that
are generated in the first phase and the elimination of transitivity
and regenerating the canonical decision tree
