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Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques.

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A computational approach for the estimation of heart failure patients status using saliva biomarkers., , , , , , , , , and 6 other author(s). EMBC, page 3648-3651. IEEE, (2017)Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques., , , , , , , , , and 5 other author(s). CBMS, page 231-235. IEEE Computer Society, (2017)Sensors and Biosensors for C-Reactive Protein, Temperature and pH, and Their Applications for Monitoring Wound Healing: A Review., , , , , , , , and . Sensors, 17 (12): 2952 (2017)A graphene oxide pH sensor for wound monitoring., , , , , , , , , and . EMBC, page 1898-1901. IEEE, (2016)KardiaTool: An Integrated POC Solution for Non-invasive Diagnosis and Therapy Monitoring of Heart Failure Patients., , , , , , , , , and 5 other author(s). EMBC, page 3878-3881. IEEE, (2018)Predicting Heart Failure Patient Events by Exploiting Saliva and Breath Biomarkers Information., , , , , , , , , and 4 other author(s). BIBE, page 285-290. IEEE Computer Society, (2017)A sampler prototype for the simultaneous collection of exhaled air and breath condensate., , , , , , , and . EMBC, page 2226-2229. IEEE, (2019)A breath sampling system assessing the influence of respiratory rate on exhaled breath composition., , , , , , and . EMBC, page 7618-7621. IEEE, (2015)