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               <dc:title>Cloud Based Acquisition System for Diabetic Data</dc:title>
               <dc:creator>Nita, Lucian</dc:creator>
               <dc:creator>Torrent-Fontbona, Ferran</dc:creator>
               <dc:subject>Diabètics -- Congressos</dc:subject>
               <dc:subject>Diabetics -- Congresses</dc:subject>
               <dc:subject>Computació en núvol -- Congressos</dc:subject>
               <dc:subject>Cloud computing -- Congresses</dc:subject>
               <dc:subject>Serveis web -- Congressos</dc:subject>
               <dc:subject>Web services -- Congresses</dc:subject>
               <dc:subject>Bases de dades web -- Congressos</dc:subject>
               <dc:subject>Web databases -- Congresses</dc:subject>
               <dc:subject>Intel·ligència artificial -- Aplicacions a la medicina -- Congressos</dc:subject>
               <dc:subject>Artificial intelligence -- Medical applications -- Congresses</dc:subject>
               <dc:description>IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical &amp; electronic mesuraments: September 14-15, 2017, Iasi, Romania</dc:description>
               <dc:description>Comunicació de congrés presentada a: IMEKO TC4 Symposium (22nd: 14-15 setembre 2017: Iasi, Romania) and International Workshop on ADC Modelling and Testing (20th: 14-15 setembre 2017: Iasi, Romania)</dc:description>
               <dc:description>The paper presents a system which collects medical&#xd;
data from people with type 1 diabetes mellitus, stores the data&#xd;
into a cloud database and implements web pages for data&#xd;
analysis. This system architecture gives possibility to clinicians&#xd;
and patients to share information about patient evolution without&#xd;
the need for the patient to physically visit the hospital. The&#xd;
system includes a clinical decision support system which helps the&#xd;
patient on insulin doses calibration</dc:description>
               <dc:description>This material is based upon the work which is supported by the European Union through the H2020 “PEPPER” project: Patient Empowerment through Predictive Personalized decision support, http://www.pepper.eu.com</dc:description>
               <dc:date>2024-06-13T09:51:16Z</dc:date>
               <dc:date>2024-06-13T09:51:16Z</dc:date>
               <dc:date>2017</dc:date>
               <dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
               <dc:type>info:eu-repo/semantics/acceptedVersion</dc:type>
               <dc:identifier>http://hdl.handle.net/10256/14869</dc:identifier>
               <dc:relation>info:eu-repo/grantAgreement/EC/H2020/689810/EU/Patient Empowerment through Predictive PERsonalised decision support/PEPPER</dc:relation>
               <dc:rights>Tots els drets reservats</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>IMEKO TC-4</dc:publisher>
               <dc:source>© IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical &amp; electronic mesuraments: September 14-15, 2017, Iasi, Romania</dc:source>
               <dc:source>Contribucions a congressos (D-EEEiA)</dc:source>
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