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Long Short-term Memory-Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation

Journal of medical Internet research, 2023-02, Vol.25 (1), p.e42519-e42519

2023

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A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health

Sensors (Basel, Switzerland), 2022-03, Vol.22 (7), p.2472

2022

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The ENDORSE Feasibility Study: Exploring the Use of M-Health, Artificial Intelligence and Serious Games for the Management of Childhood Obesity

Nutrients, 2023-03, Vol.15 (6), p.1451

2023

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The Impact of the ENDORSE Digital Weight Management Program on the Metabolic Profile of Children and Adolescents with Overweight and Obesity and on Food Parenting Practices

Nutrients, 2023-04, Vol.15 (7), p.1777

2023

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The smarty4covid dataset and knowledge base as a framework for interpretable physiological audio data analysis

Scientific data, 2023-11, Vol.10 (1), p.770-770, Article 770

2023

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Parenting Styles and Psychosocial Factors of Mother-Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic

Children (Basel), 2024-01, Vol.11 (1), p.107

2024

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What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project

BMC medical informatics and decision making, 2019-08, Vol.19 (1), p.163-163, Article 163

2019

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Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication

IEEE journal of biomedical and health informatics, 2018-09, Vol.22 (5), p.1637-1647

2018

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A Review of Emerging Technologies for the Management of Diabetes Mellitus

IEEE transactions on biomedical engineering, 2015-12, Vol.62 (12), p.2735-2749

2015

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Comparative assessment of statistical and machine learning techniques towards estimating the risk of developing type 2 diabetes and cardiovascular complications

Expert systems, 2017-12, Vol.34 (6), p.n/a

2017

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Special issue on emerging technologies for the management of diabetes mellitus

Medical & biological engineering & computing, 2015-12, Vol.53 (12), p.1255-1258

2015

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An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control

IEEE transactions on biomedical engineering, 2011-09, Vol.58 (9), p.2467-2477

2011

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Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

IEEE reviews in biomedical engineering, 2024-01, Vol.17, p.1-19

2024

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Ketonemia and ketonuria in gestational diabetes mellitus

Hormones (Athens, Greece), 2015-10, Vol.14 (4), p.644-650

2015

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SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients

IEEE journal of biomedical and health informatics, 2010-05, Vol.14 (3), p.622-633

2010

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Artificial Intelligence Based Procedural Content Generation in Serious Games for Health: The Case of Childhood Obesity

Wireless Mobile Communication and Healthcare, p.207-219

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An Ontology-Based Serious Game Design for the Development of Nutrition and Food Literacy Skills

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.1405-1408

2019

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An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus

2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020, p.859-864

2020

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A data gathering framework to collect Type 2 diabetes patients data

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014, p.244-247

2014

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An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), 2021, p.1-5

2021

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Procedural content generation based on a genetic algorithm in a serious game for obstructive sleep apnea

2020 IEEE Conference on Games (CoG), 2020, p.694-697

2020

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Evaluation of a Serious Game Promoting Nutrition and Food Literacy: Experiment Design and Preliminary Results

2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019, p.497-502

2019

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A hybrid Decision Support System for the risk assessment of retinopathy development as a long term complication of Type 1 Diabetes Mellitus

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.6713-6716

2010

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A hybrid genetic algorithm for the selection of the critical features for risk prediction of cardiovascular complications in Type 2 Diabetes patients

13th IEEE International Conference on BioInformatics and BioEngineering, 2013, p.1-4

2013

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An Insulin Infusion Advisory System for Type 1 Diabetes Patients based on Non-Linear Model Predictive Control Methods

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, Vol.2007, p.5971-5974

2007

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Long Short-term Memory-Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation

A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health

The ENDORSE Feasibility Study: Exploring the Use of M-Health, Artificial Intelligence and Serious Games for the Management of Childhood Obesity

The Impact of the ENDORSE Digital Weight Management Program on the Metabolic Profile of Children and Adolescents with Overweight and Obesity and on Food Parenting Practices

The smarty4covid dataset and knowledge base as a framework for interpretable physiological audio data analysis

Parenting Styles and Psychosocial Factors of Mother-Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project

Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication

A Review of Emerging Technologies for the Management of Diabetes Mellitus

Comparative assessment of statistical and machine learning techniques towards estimating the risk of developing type 2 diabetes and cardiovascular complications

Special issue on emerging technologies for the management of diabetes mellitus

An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control

Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

Ketonemia and ketonuria in gestational diabetes mellitus

SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients

Artificial Intelligence Based Procedural Content Generation in Serious Games for Health: The Case of Childhood Obesity

An Ontology-Based Serious Game Design for the Development of Nutrition and Food Literacy Skills

An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus

A data gathering framework to collect Type 2 diabetes patients data

An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus

Procedural content generation based on a genetic algorithm in a serious game for obstructive sleep apnea

Evaluation of a Serious Game Promoting Nutrition and Food Literacy: Experiment Design and Preliminary Results

A hybrid Decision Support System for the risk assessment of retinopathy development as a long term complication of Type 1 Diabetes Mellitus

A hybrid genetic algorithm for the selection of the critical features for risk prediction of cardiovascular complications in Type 2 Diabetes patients

An Insulin Infusion Advisory System for Type 1 Diabetes Patients based on Non-Linear Model Predictive Control Methods

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