[PDF][PDF] Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020.

D Joedicke, G Kronberger, JM Colmenar, SM Winkler… - KDH@ ECAI, 2020 - folk.idi.ntnu.no
In this paper we present results for the Blood Glucose Level Prediction Challenge for the
Ohio2020 dataset. We have used four variants of genetic programming to build white-box …

Glucose forecasting using genetic programming and latent glucose variability features

S Contador, JM Velasco, O Garnica, JI Hidalgo - Applied Soft Computing, 2021 - Elsevier
This paper investigates a set of genetic programming methods to obtain accurate predictions
of subcutaneous glucose values from diabetic patients. We explore the usefulness of …

Multi-objective symbolic regression to generate data-driven, non-fixed structure and intelligible mortality predictors using ehr: Binary classification methodology and …

D Ferrari, V Guidetti, Y Wang… - AMIA Annual Symposium …, 2023 - pmc.ncbi.nlm.nih.gov
Symbolic Regression (SR) is a data-driven methodology based on Genetic Programming,
and it is widely used to produce arithmetic expressions for modelling learning tasks …

Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System

J Alvarado, JM Velasco, F Chávez… - 2021 IEEE Congress …, 2021 - ieeexplore.ieee.org
Blood glucose management is a difficult task that people with diabetes usually have to
perform by themselves. An accurate and timely prediction is vital in order to take decisions …

[PDF][PDF] Intelligent Monitoring of Diabetes Mellitus by means of Mobile and Wearable Devices

CR León, OB Legrán, CV Palliser - 2024 - orestibanos.com
Type 1 diabetes is primarily characterized by a severe issue in insulin secretion. Patients
with this condition must rely on external sources of insulin to regulate their blood glucose …

Machine learning techniques for detecting hypoglycemic events using electrocardiograms

NRS Carmo - 2021 - ri.ufs.br
Background Machine learning methods have long been employed to automatically analyze
electrocardiogram signals. In the past ten years, most studies have used a limited number of …

Short and medium term blood glucose prediction using multi-objective grammatical evolution

S Contador, JM Colmenar, O Garnica… - … 2020, Held as Part of …, 2020 - Springer
In this paper we investigate the benefits of applying a multi-objective approach for solving a
symbolic regression problem by means of grammatical evolution. In particular, we continue …

Studies on genetic programming techniques for the short and medium term predictions of the interstitial glucose of diabetic patients

S Contador Pachón - 2022 - burjcdigital.urjc.es
Diabetes Mellitus (DM) is a chronic disease that increases the morbidity and mortality, and
causes a significant deterioration in the quality of life. There are mainly two types of …