Session

Thursday, June 22, 2017 - 16:00 to 17:15
Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques
Abstract: 
The aim of this work is to estimate the medication adherence of patients with heart failure through the application of a data mining approach on a dataset including information from saliva and breath biomarkers. The method consists of two stages. In the first stage, a model for the estimation of adherence risk of a patient, exploiting anamnestic and instrumental data, is applied. In the second stage, the output of the model, accompanied with data from saliva and breath biomarkers, is given as input to a classification model for determining if the patient is adherent, in terms of medication. The method is evaluated on a dataset of 29 patients and the achieved accuracy is 96%.
Evanthia Tripoliti's picture
Evanthia Tripoliti
Theofilos Papadopoulos's picture
Theofilos Papadopoulos
Georgia Karanasiou's picture
Georgia Karanasiou
FORTH (GR)
Fanis Kalatzis's picture
Fanis Kalatzis
Yorgos Goletsis's picture
Yorgos Goletsis
Aris Bechlioulis's picture
Aris Bechlioulis
Silivia Ghimenti's picture
Silivia Ghimenti
Tommaso Lomonaco's picture
Tommaso Lomonaco
Francesca Bellagambi's picture
Francesca Bellagambi
Roger Fuoco's picture
Roger Fuoco
Mario Marzilli's picture
Mario Marzilli
Maria Chiara Scali's picture
Maria Chiara Scali
Katerina Naka's picture
Katerina Naka
Abdelhamid Errachid's picture
Abdelhamid Errachid
Dimitris Fotiadis's picture
Dimitris Fotiadis
University of Ioannina (GR)