Genetic Programming-based induction of a glucose-dynamics model for telemedicine

Author:

De Falco Ivanoe,Della Cioppa Antonio,Koutny Tomas,Krcma Michal,Scafuri Umberto,Tarantino Ernesto

Funder

Czech Ministry of Education, Youth and Sports

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference34 articles.

1. The correlation and accuracy of glucose levels between interstitial fluid and venous plasma by continuous glucose monitoring system;Baek;Kor. Diab. J.,2010

2. Performance of genetic programming to extract the trend in noisy data series;Borrelli;Physica A,2006

3. Evaluating clinical accuracy of systems for self-monitoring of blood glucose;Clarke;Diabetes Care,1987

4. An evolutionary approach for estimating the blood glucose by exploiting interstitial glucose measurements;De Falco,2018

5. Accurate estimate of blood glucose through interstitial glucose by genetic programming;De Falco,2017

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