Publications

• 2016

  • 1st Workshop on Artificial intelligence for Diabetes (ECAI 2016)
    Eds. Beatriz López, Pau Herrero and Clare Martin
    1st Workshop on Artificial Intelligence for Diabetes (ECAI).
    The Hague, Netherlands, 2016.
    DOI: 10.5281/zenodo.400204

  • PEPPER: Patient Empowerment Through Predictive Personalised Decision Support.
    Pau Herrero, Beatriz López , Claire Martin.
    1st Workshop on Artificial Intelligence for Diabetes (ECAI)
    The Hague, Netherlands, 2016.
    DOI: 10.5281/zenodo.427542

  • Handling Missing Phenotype Data with Random Forests for Diabetes Risk Prognosis.
    Beatriz López, Ramon Viñas, Ferran Torrent-Fontbona, José Manuel Fernández-Real.
    1st Workshop on Artificial Intelligence for Diabetes (ECAI).
    The Hague, Netherlands, 2016.
    DOI: http://hdl.handle.net/10256/12935

  • Interconnection of Medical Data Acquisition Systems.
    Lucian Nita
    2016 International Conference and Exposition on Electrical and Power Engineering (EPE).
    Iasi, Romania, 2016
    DOI: https://zenodo.org/record/802087#.XjQsN2hKiUk

• 2017

  • Involving physical activity in insulin recommender systems with the use of wearables.
    Beatriz López, Alejandro Pozo, Ferran Torrent-Fontbona.
    Informatics for Health
    Manchester, UK, 2017
    URL: http://hdl.handle.net/10256/14343

  • A CBR-based bolus recommender system for type 1 diabetes.
    Ferran Torrent-Fontbona, Beatriz Lopez, and Alejandro Pozo-Alonso.
    2nd Workshop on Artificial Intelligence for Diabetes (AIME)
    Vienna, Austria, 2017
    URL: http://hdl.handle.net/10256/14318

  • Negative resuts for the prediction of postprandial hypoglycemias from insulin intakes and carbohydrates: analysis and comparison between real and simulated datasets.
    Fabien Dubosson, Natalia Mordanyuk, Beatriz López, and Michael Schumacher.
    2nd Workshop on Artificial Intelligence for Diabetes (AIME)
    Vienna, Austria, 2017
    URL: http://hdl.handle.net/10256/14859

  • Cloud system for diabetic data analysis
    Lucian Nita
    SIELMEN 2017
    URL: https://doi.org/10.1109/SIELMEN.2017.8123364

  • Safety Layer for an Insulin Delivery System
    Pau Herrero, Peter Pesl, Monika Reddy, Mohamed El-Sharkawy, Christofer Toumazou, Nick Oliver, Pantelis Georgiou
    10th Advanced Technologies & Treatments for Diabetes (ATTD 2017)
    URL: http://hdl.handle.net/10044/1/55973 

  • Automatic Adjustment of Basal Insulin Infusion Rates in Type 1 Diabetes using Run-to-Run Control and Case-Based Reasoning.
    Pau Herrero, Peter Pesl, Monika Reddy, Nick Oliver and Pantelis Georgiou.
    2nd Workshop on Artificial Intelligence for Diabetes (AIME)
    Vienna, Austria, 2017
    URL: http://hdl.handle.net/10044/1/55731

  • Towards a Formal Model of Type 1 Diabetes for Artificial Intelligence
    Daniel Brown, Clare Martin, David Duce, Arantza Aldea, R. Harrison
    2nd Workshop on Artificial Intelligence for Diabetes (AIME)
    Vienna, Austria, 2017
    URL: https://radar.brookes.ac.uk/radar/items/1c739bf4-e995-4d8e-b63b-fa0936980210/1/

  • 2nd Workshop on Artificial intelligence for Diabetes (AIME 2017)
    Eds. Pau Herrero, Beatriz López and Clare Martin
    2nd Workshop on Artificial intelligence for Diabetes (AIME 2017)
    Viena, Austria, 2017.
    DOI: 10.5281/zenodo.887324

  • Prediction of Glucose Level Conditions from Sequential Data
    Natalia Mordanyuk, Ferran Torrent-Fontbona, Beatriz López
    20th International Conference of the Catalan Association for Artificial Intelligence
    CCIA, October 25-27th, Deltebre, 2017.
    Publised by IOS Press, Frontiers in Artificial Intelligence and Applications, volume 300, pages 227-232.
    URL: http://hdl.handle.net/10256/14860

  • Cloud Based Acquisition System for Diabetic Data
    Lucian Nita, Ferran Torrent-Fontbona
    22nd IMEKO TC4 International Symposium
    Iasi, 2017.
    URL: http://hdl.handle.net/10256/14869

• 2018

  • Temporal Case-based Reasoning for Type 1 Diabetes Mellitus Bolus Insulin Decision Support
    Daniel Brown, Arantza Aldea, Rachel Harrison, Clare Martin, Ian Bayley
    Artificial Intelligence in Medicine
    Volume 85, april 2018, page 28-42

  • Personalized Adaptive CBR Bolus Recommender System for Type 1 Diabetes
    Ferran Torrent-Fontbona, Beatriz López
    IEEE Journal of Biomedical and Health Informatics
    Volume 23, Issue 1, page 387-394. 2018
    URL: http://hdl.handle.net/10256/15214

  • Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes
    Ferran Torrent-Fontbona
    Expert Systems with Applications
    Volume 101, July 2018, page 1-7
    URL: http://hdl.handle.net/10256/15119

  • Case-base maintenance of a personalised bolus insulin recommender system for Type 1 Diabetes Mellitus
    Ferran Torrent-Fontbona, Joaquim Massana, and Beatriz López
    CEUR Workshop Proceedings (AIH2018)
    Sweden, 2018

  • The Role of Usability Engineering in the Development of an Intelligent Decision Support System
    Clare Martin, Arantza Aldea, David Duce, Rachel Harrison, Marion Waite
    CEUR Workshop Proceedings (AIH2018)
    Sweden, July 2018
    URL: http://ceur-ws.org/Vol-2142/short3.pdf

  • Case-base Maintenance of a Personalised and Adaptive CBR Bolus Insulin Recommender System for Type 1 Diabetes
    Ferran Torrent-Fontbona, Joaquim Massana, Beatriz López
    Expert Systems with Applications
    Volume 121, Page 338-346 
    URL: http://hdl.handle.net/10256/16214

  • Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction
    Beatriz López, Ferrant Torrent-Fontbona, Ramón Viñas, José Manuel Fernández-Real
    Artificial Intelligence in Medicine
    Volume 85, April 2018, pages 43-49
    URL: http://hdl.handle.net/10256/14506

  • Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review
    Marion Waite, Clare Martin, Rachel Franklin, David Duce, Rachel Harrison
    JMIR Hum Factors
    Volume 5, 2018
    URL: http://www.doi.org/10.2196/humanfactors.9049

  • Automatic adaptation of basal insulin using sensor-augmented pump theraphy
    Pau Herrero; J. Bondia; M. Giménez; Pantelis Georgiou
    Journal of diabetes science and technology
    Vol 11326, p 142-162
    URL: https://spiral.imperial.ac.uk/handle/10044/1/72147

  • Special section on artificial intelligence for diabetes
    Beatriz López; Clare Martin; Pau Herrero
    Artificial Intelligence in Medicine
    Volume 85, Pages 26-27
    URL: http://hdl.handle.net/10256/17871

  • Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare
    Beatriz López, Natalia Mordvanyuk, Joaquim Massana, Ferran Torrent-Fontbona, Gerard Cáceres, Carles Pou
    I workshop de grupos de investigación Españoles de IA en medicina
    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial
    URL: http://hdl.handle.net/10256/17832

• 2019

  • A modular safety system for insulin doses recommender: a feasibility study
    Chengyuan Liu, Parizad Avari, Yenny Leal, Marzena Wos, Kumuthine Sivasithamparam, Pantelis Georgiou, Monika Reddy, José Manuel Fernández-Real, Clare Martin, Mercedes Fernández-Balsells, Nick Oliver, and Pau Herrero.
    Journal of diabetes, science and technology
    May 2019
    URL: http://hdl.handle.net/10044/1/71349

  • Classification of Postprandial Glycemic Status in Type 1 Diabetes with Application to Meal Insulin Dosing – An In Silico Proof-of-Concept
    Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Pantelis Georgiou, Pau Herrero.
    Sensors 
    July 2019
    URL: https://doi.org/10.3390/s19143168

  • Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes using Binary Classifiers.
    Amparo Guemes, Giacomo Cappon, Bernard Hernandez, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero. 
    IEEE J Biomed Health Inform.  
    September 2019.
    URL: https://doi.org/10.1109/JBHI.2019.2938305

  • Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal
    Chengyuan Liu, Josep Vehí, Parizad Avari, Monika Reddy, Nick Oliver, Pantelis Georgiou, and Pau Herrero
    Sensors
    October 2019
    URL: http://hdl.handle.net/10256/17048

  • Coordinating Low-Glucose Insulin Suspension and Carbohydrate Recommendations for Hypoglycaemia Minimisation
    Liu, C and Avari, PE and Oliver, N and Georgiou, P and Vinas, P Herrero
    Conference: 12th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD 2019)
    URL: https://zenodo.org/record/2606818#.XZ8EZZNKgWo

  • Estudio de factibilidad del sistema de seguridad PEPPER, un componente de un sistema personalizado de soporte de decisiones de autogestión de la DM1
    Yenny Leal, Marzena Wos, Parizad Avari, Pau Herrero, Lidia Sojo, Eduardo Esteve, Mercè Fernández-Balsells
    Conference: Proceedings of the XXX congreso de la Sociedad Española de Diabetes
    URL: https://zenodo.org/record/3607560#.Xh28iEdKjIU

  • The Role of Usability Engineering in the Development of an Intelligent Decision Support System
    Clare Martin, Arantza Aldea, David Duce, Rachel Harrison, and Bedour Alshaigy.
    Lecture Notes in Artificial Intelligence
    Vol 11326, p 142-162
    URL: https://link.springer.com/content/pdf/10.1007%2F978-3-030-12738-1.pdf

  • Feasibility of safety system within a novel personalized decision support tool for insulin dosing.
    Parizad Avari, Yenny Leal, Marzena Wos, Kumuthine Sivasithamparam, Chengyuan Liu, Narvada Jugnee, Maria Thomas, Monika Reddy, Pau Herrero, Clare Martin, José Manuel Fernández-Real; Nick Oliver; Mercè Fernández-Balsells
    Conference: 12th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD 2019)
    URL: https://zenodo.org/record/3607451#.Xh2qnUdKjIU

• 2020

  • Trust and contextual engagement with the PEPPER system: the qualitative findings of a clinical feasibility study
    Marion Waite, Arantza Aldea, Parizad Avari, David Duce, Pau Herrero, Narvada Jugnee, Yenny Leal, Beatriz López, Clare Martin, Nick Oliver, Monika Reddy
    Advanced technologies and treatments for diabetes (ATTD2020)
    Symposium: ATTD2020, Speaker: Arantza Aldea

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