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Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.
Rodríguez-Rodríguez, Ignacio; Chatzigiannakis, Ioannis; Rodríguez, José-Víctor; Maranghi, Marianna; Gentili, Michele; Zamora-Izquierdo, Miguel-Ángel.
Affiliation
  • Rodríguez-Rodríguez I; Facultad de Informática, Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, 30100 Murcia, Spain. ignacio.rodriguez1@um.es.
  • Chatzigiannakis I; Dipartimento di Ingegneria Informatica Automatica e Gestionale 'Antonio Ruberti', Sapienza Università di Roma, 00185 Roma, Italy. ichatz@diag.uniroma1.it.
  • Rodríguez JV; Departamento de Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena; 30202 Cartagena, Spain. jvictor.rodriguez@upct.es.
  • Maranghi M; Dipartimento di Ingegneria Informatica Automatica e Gestionale 'Antonio Ruberti', Sapienza Università di Roma, 00185 Roma, Italy. marianna.maranghi@uniroma1.it.
  • Gentili M; Dipartimento di Ingegneria Informatica Automatica e Gestionale 'Antonio Ruberti', Sapienza Università di Roma, 00185 Roma, Italy. gentili@diag.uniroma1.it.
  • Zamora-Izquierdo MÁ; Facultad de Informática, Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, 30100 Murcia, Spain. mzamora@um.es.
Sensors (Basel) ; 19(20)2019 Oct 16.
Article in En | MEDLINE | ID: mdl-31623111
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Full text: 1 Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 1 / Machine Learning / Big Data Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Year: 2019 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 1 / Machine Learning / Big Data Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Year: 2019 Type: Article