Marta Botella Serrano-rekin lankidetzan egindako argitalpenak (17)

2024

  1. HUPA-UCM diabetes dataset

    Data in Brief

2023

  1. Evaluating the influence of sleep quality and quantity on glycemic control in adults with type 1 diabetes

    Frontiers in Endocrinology, Vol. 14

2022

  1. Evaluating the Influence of Mood and Stress on Glycemic Variability in People with T1DM Using Glucose Monitoring Sensors and Pools

    Diabetology, Vol. 3, Núm. 2, pp. 268-275

  2. Evolving Classification Rules for Predicting Hypoglycemia Events

    2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

2021

  1. Identification of blood glucose patterns in patients with type 1 diabetes using continuous glucose monitoring and clustering techniques

    Endocrinologia, Diabetes y Nutricion, Vol. 68, Núm. 3, pp. 170-174

2020

  1. Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging

    Applied Soft Computing Journal, Vol. 88

  2. Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients

    Biomedical Signal Processing and Control, Vol. 61

2018

  1. Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting

    Memetic Computing, Vol. 10, Núm. 3, pp. 267-277

  2. Swarm hybrid optimization for a piecewise model fitting applied to a glucose model

    Journal of Systems and Information Technology, Vol. 20, Núm. 4, pp. 404-416

2017

  1. A genetic algorithm approach to customizing a glucose model based on usual therapeutic parameters

    Progress in Artificial Intelligence, Vol. 6, Núm. 3, pp. 255-261

  2. Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  3. Enhancing grammatical evolution through data augmentation: Application to blood glucose forecasting

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation

    GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

2016

  1. Predicting glycemia in diabetic patients by evolutionary computation and continuous glucose monitoring

    GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference

2015

  1. Data-based identification of prediction models for glucose

    GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference

2014

  1. Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation

    GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

  2. Modeling glycemia in humans by means of Grammatical Evolution

    Applied Soft Computing Journal, Vol. 20, pp. 40-53