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Cloud Based Acquisition System for Diabetic Data

IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical & electronic mesuraments: September 14-15, 2017, Iasi, Romania

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)

The paper presents a system which collects medical data from people with type 1 diabetes mellitus, stores the data into a cloud database and implements web pages for data analysis. This system architecture gives possibility to clinicians and patients to share information about patient evolution without the need for the patient to physically visit the hospital. The system includes a clinical decision support system which helps the patient on insulin doses calibration

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

© IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical & electronic mesuraments: September 14-15, 2017, Iasi, Romania

IMEKO TC-4

Autor: Nita, Lucian
Torrent-Fontbona, Ferran
Data: 2017
Resum: IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical & electronic mesuraments: September 14-15, 2017, Iasi, Romania
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)
The paper presents a system which collects medical data from people with type 1 diabetes mellitus, stores the data into a cloud database and implements web pages for data analysis. This system architecture gives possibility to clinicians and patients to share information about patient evolution without the need for the patient to physically visit the hospital. The system includes a clinical decision support system which helps the patient on insulin doses calibration
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
Format: application/pdf
Accés al document: http://hdl.handle.net/10256/14869
Llenguatge: eng
Editor: IMEKO TC-4
Col·lecció: Versió postprint del document publicat a: http://www.imeko2017.tuiasi.ro/
Contribucions a congressos (D-EEEiA)
info:eu-repo/grantAgreement/EC/H2020/689810
És part de: © IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical & electronic mesuraments: September 14-15, 2017, Iasi, Romania
Drets: Tots els drets reservats
Matèria: Diabètics -- Congressos
Diabetics -- Congresses
Computació en núvol
Cloud computing
Serveis web
Web services
Bases de dades web
Web databases
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Títol: Cloud Based Acquisition System for Diabetic Data
Tipus: info:eu-repo/semantics/conferenceObject
Repositori: DUGiDocs

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