Miguel Ángel Zamora Izquierdo-rekin lankidetzan egindako argitalpenak (9)

2020

  1. A comparison of different models of glycemia dynamics for improved type 1 diabetes mellitus management with advanced intelligent analysis in an internet of things context

    Applied Sciences (Switzerland), Vol. 10, Núm. 12

2019

  1. Biosensores integrados en un entorno de internet de las cosas: una gestión inteligente de la diabetes mellitus tipo 1

    IV Jornadas Doctorales Escuela Internacional de Doctorado de la Universidad de Murcia (Eidum)

  2. Feature selection for blood glucose level prediction in type 1 diabetes mellitus by using the sequential input selection algorithm (SISAL)

    Symmetry, Vol. 11, Núm. 9

  3. On the possibility of predicting glycaemia ‘on the fly’ with constrained IoT devices in type 1 diabetes mellitus patients

    Sensors (Switzerland), Vol. 19, Núm. 20

  4. Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques

    Sensors (Switzerland), Vol. 19, Núm. 20

2018

  1. Towards an ICT-based platform for type 1 diabetes mellitus management

    Applied Sciences (Switzerland), Vol. 8, Núm. 4

  2. Variables to be monitored via biomedical sensors for complete type 1 diabetes mellitus management: An extension of the “on-board” concept

    Journal of Diabetes Research, Vol. 2018

2017

  1. On predicting glycaemia in type 1 diabetes mellitus patients by using support vector machines

    ACM International Conference Proceeding Series

  2. Towards a new diabetes mellitus management by means of novel biosensors and information and communication technologies

    ACM International Conference Proceeding Series