2026-04-14T03:20:35Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/148692024-06-13T09:51:16Zcom_2072_453036com_2072_2054col_2072_453038

00925njm 22002777a 4500 dc Nita, Lucian author Torrent-Fontbona, Ferran author 2017 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 http://hdl.handle.net/10256/14869 Diabètics -- Congressos Diabetics -- Congresses Computació en núvol -- Congressos Cloud computing -- Congresses Serveis web -- Congressos Web services -- Congresses Bases de dades web -- Congressos Web databases -- Congresses Intel·ligència artificial -- Aplicacions a la medicina -- Congressos Artificial intelligence -- Medical applications -- Congresses Cloud Based Acquisition System for Diabetic Data