Patient Empowerment through Predictive PERsonalised decision support

Risultati finali

Report on standards and regulatory approval acceptance

All relevant details regarding standards from any of the technical work packages WP2-6 will be collated and documented in a final report.

Regulatory documentation

Technical documentation to be submitted to the regulatory agencies.

Insulin recommender API

Case Based Reasoning Insulin recommender API

Architecture API

High-level architecture document defining how the different modules/APIs work together

Ethical approval for the feasibility study

Ethical approval for the feasibility study to be granted in both participating clinical centres.

Handset GUI and Data Visualisation API

Handset Graphical User Interface and Data Visualisation API

Clinical protocol for the clinical validation study

Release the clinical protocol for the validation study, ready to submit for ethical approval.

Safety System API

Safety System API (Glucose alarms API, Insulin Constraint API, Low-glucose suspend API, Carbohydrate recommender API)

Clinical protocol for feasibility study

Release the clinical protocol for the feasibility study, ready to submit for ethical approval.

Ethical approval for the validation study

Ethical approval for the validation study to be granted in both participating clinical centres.

Server API

Backend and Frontend Server API

Project website

Release of project website, including project and partner information and public reports or relevant news items.

Pubblicazioni

Avaluació d'un sistema personalitzat de suport de decisions d'autogestion de la DM1.

Autori: Wos, Marzena; Leal, Yenny; Fernández-Balsells, Mercedes; Martin, Clare; Herrero, Pau; López, Beatriz; Ricart, Wilfredo; Sojo-Vega, Lidia; Esteve Lafuente, Eduardo; Loshuertos, Emilio; Shapley, Julian; Nita, Lucian; Fernández-Real, José Manuel
Pubblicato in: XIVè Congrés Associació Catalana de Diabetes, 2017
Editore: XIV Congrés de l' Associació Catalana de Diabetis (ACD)
DOI: 10.5281/zenodo.575419

Cloud system for diabetic data analysis

Autori: Lucian Nita
Pubblicato in: 2017 International Conference on Electromechanical and Power Systems (SIELMEN), 2017, Pagina/e 445-447, ISBN 978-1-5386-1846-2
Editore: IEEE
DOI: 10.1109/SIELMEN.2017.8123364

Prediction of glucose level conditions from sequential data

Autori: Natalia Mordvanyuk, Ferran Torrent-Fontbona, Beatriz López
Pubblicato in: Frontiers in Artificial Intelligence and Applications. Conference Proceeding: 20th International Conference of the Catalan Association for Artificial Intelligence, CCIA, October 25-27th, Deltebre, 2017., 2017, ISSN 0922-6389
Editore: IOS Press
DOI: 10.3233/978-1-61499-806-8-227

Involving physical activity in insulin recommender systems with the use of wearables

Autori: López Ibáñez, Beatriz; Pozo-Alonso, Alejandro; Torrent-Fontbona, Ferran
Pubblicato in: MIE(Informatics for Health2017). Paper session: Diabetes ans ageing. Exchange 3, 2017
Editore: MIE(Informatics for Health2017).

Personalised Clinical Decision Support For Diabetes Management Using Real-time Data

Autori: Martin, Clare; Aldea, Arantza; Brown, Daniel; Fernández-Real, Jose Manuel; Gay, Pablo; Georgiou, Pantelis; Harrison, R.; Herrero, Pau; Innocenti, Bianca; López, Beatriz; Leal, Yenny; Nita, Lucian; Pesl, Peter; Petite, Roberto; Reddy, Monika; Torrent-Fontbona, Ferran; Waite, Marion; Wos, Marzena; Oliver, Nicholas; Shapley, Julian
Pubblicato in: International Conference on Advanced Technologies & Treatments for Diabetes (ATTD), 2017
Editore: Advanced Technologies & Treatments for Diabetes.
DOI: 10.5281/zenodo.820449

Cloud Based Acquisition System for Diabetic Data

Autori: Lucian Nita, Ferran Torrent-Fontbona
Pubblicato in: 22nd IMEKO TC4 International Symposium, 2017
Editore: 22nd IMEKO TC4 International Symposium

Evaluación de un sistema personalizado de soporte de decisiones de autogstión de la DM1

Autori: Wos, Marzena; Leal, Yenny; Fernandez-Basells, Mercedes; Martin, Clare; Ricart, Wilfredo; Sojo Vega, Lidia; Fernández-Real, José Manuel
Pubblicato in: XXVIII Congreso Nacional de la Sociedad Española de Diabetes (SED), 2017
Editore: XXVIII Congreso Nacional de la Sociedad Española de Diabetes (SED)
DOI: 10.5281/zenodo.574268

Negative results for the prediction of postprandial hypoglycemias from insulin intakes and carbohydrates: analysis and comparison with simulated data

Autori: Dubosson, Fabien; Mordvanyuk, Natalia; López Ibáñez, Beatriz; Schumacher, Michael
Pubblicato in: Proceedings of the 2nd International Workshop on Artificial Intelligence for Diabetes, 2017
Editore: Workshop on Artificial Intelligence for Diabetes

Case-base maintenance of a personalized bolus insulin recommender system for Type 1 Diabetes Mellitus.

Autori: Ferran Torrent-Fontbona,Joaquim Massana, Beatriz Lopez
Pubblicato in: Joint Workshop on Artificial Intelligence in Health (AIH2018, 2018, ISSN 1613-0073
Editore: First Joint Workshop on AI in Health (AIH 2018)

eXiT Research Group at the University of Girona: Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare

Autori: Beatriz López, Natalia Mordvanyuk, Joaquim Massana Raurich, Ferran Torrent-Fontbona, Gerard Cáceres, Carles Pous
Pubblicato in: I workshop de grupos de investigación Españoles de IA en medicina, 2018
Editore: XVIII Conferencia de la Asociación Española para la Inteligencia Artificial

Automated Adjustment of Basal-Bolus Insulin Therapy Using Run-To-Run Control and Case-based Reasoning

Autori: Pau Herrero, Peter Pesl, Monika Reddy, Nick Oliver, Pantelis Georgiou
Pubblicato in: 2nd Workshop on Artificial Intelligence for Diabetes (AID2017), 2017
Editore: 2nd Workshop on Artificial Intelligence for Diabetes (AID2017)

Feasibility of safety system within a novel personalized decision support tool for insulin dosing

Autori: 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
Pubblicato in: Proceedings of the Advanced Technologies and Treatments for Diabetes (ATTD 2019), 2019
Editore: International Conference on Advanced Technologies & Treatments for Diabetes (ATTD)
DOI: 10.5281/zenodo.3607451

Estudio de factibilidad del sistema de seguridad PEPPER, un componente de un sistema personalizado de soporte de decisiones de autogestión de la DM1

Autori: Yenny Leal, Marzena Wos, Parizad Avari, Pau Herrero, Lidia Sojo, Eduardo Esteve, Mercè Fernández-Balsells
Pubblicato in: Proceedings of the XXX congreso de la Sociedad Española de Diabetes, 2019
Editore: Congreso Nacional de la Sociedad Española de Diabetes
DOI: 10.5281/zenodo.3607560

Abstracts from ATTD 2017 10th International Conference on Advanced Technologies & Treatments for Diabetes Paris, France—February 15–18, 2017

Autori: Herrero Vinas, P, Pesl, P, Reddy, M, El Sharkawy, M, Toumazou, C
Pubblicato in: Diabetes Technology & Therapeutics, Numero 19/S1, 2017, Pagina/e A-1-A-133, ISSN 1520-9156
Editore: Mary Ann Liebert Inc.
DOI: 10.1089/dia.2017.2525.abstracts

PEPPER: Patient Empowerment Through Predictive Personalised Decision Support

Autori: Herrero, Pau; López, Beatriz; Martin, Clare
Pubblicato in: Proceedings of the 1st Workshop on Artificial Intelligence for Diabetes, 2016
Editore: AID 2016 Workshop Editors
DOI: 10.5281/zenodo.427542

Interconnection of medical data acquisition systems

Autori: Lucian Nita
Pubblicato in: 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), 2016, Pagina/e 617-620, ISBN 978-1-5090-6129-7
Editore: IEEE
DOI: 10.1109/ICEPE.2016.7781413

Handling Missing Phenotype Data with Random Forests for Diabetes Risk Prognosis

Autori: López Ibáñez, Beatriz; Viñas, Ramon; Torrent-Fontbona, Ferran; Fernández-Real Lemos, José Manuel
Pubblicato in: Proceedings of the 1st Workshop on Artificial Intelligence for Diabetes, Numero 1, 2016
Editore: AID 2016 Workshop Editors
DOI: 10.5281/zenodo.427979

Automatic Adjustment of Basal Insulin Infusion Rates in Type 1 Diabetes using Run-to-Run Control and Case-Based Reasoning

Autori: Pau Herrero, Peter Pesl, Monika Reddy, Nick Oliver, Pantelis Georgiou
Pubblicato in: Proceedings of the Second Workshop on Artificial Intelligence for Diabetes AIME 2017, 2017
Editore: AID 2017

A CBR-based bolus recommender system for type 1 diabetes

Autori: Torrent-Fontbona, Ferran; López Ibáñez, Beatriz; Pozo-Alonso, Alejandro
Pubblicato in: Proceedings of the Second Workshop on Artificial Intelligence for Diabetes, Numero 2, 2017
Editore: AID 2017

Towards a Formal Model of Type 1 Diabetes for Artificial Intelligence

Autori: Daniel Brown, Clare Martin, David Duce, Arantza Aldea, R. Harrison
Pubblicato in: Proceedings of the Second Workshop on Artificial Intelligence for Diabetes AIME 2017, 2017
Editore: AID 2017

Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal

Autori: Chengyuan Liu, Josep Vehí, Parizad Avari, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero
Pubblicato in: Sensors, Numero 19/19, 2019, Pagina/e 4338, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19194338

Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction

Autori: Beatriz López, Ferran Torrent-Fontbona, Ramón Viñas, José Manuel Fernández-Real
Pubblicato in: Artificial Intelligence in Medicine, Numero 85, 2018, Pagina/e 43-49, ISSN 0933-3657
Editore: Elsevier BV
DOI: 10.1016/j.artmed.2017.09.005

Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review

Autori: Marion Waite, Clare Martin, Rachel Franklin, David Duce, Rachel Harrison
Pubblicato in: JMIR Human Factors, Numero 5/1, 2018, Pagina/e e11, ISSN 2292-9495
Editore: JMIR Publications
DOI: 10.2196/humanfactors.9049

Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support

Autori: Daniel Brown, Arantza Aldea, Rachel Harrison, Clare Martin, Ian Bayley
Pubblicato in: Artificial Intelligence in Medicine, Numero 85, 2018, Pagina/e 28-42, ISSN 0933-3657
Editore: Elsevier BV
DOI: 10.1016/j.artmed.2017.09.007

Special section on artificial intelligence for diabetes

Autori: Beatriz López, Clare Martin, Pau Herrero Viñas
Pubblicato in: Artificial Intelligence in Medicine, Numero 85, 2018, Pagina/e 26-27, ISSN 0933-3657
Editore: Elsevier BV
DOI: 10.1016/j.artmed.2017.09.008

Automatic Adaptation of Basal Insulin Using Sensor-Augmented Pump Therapy

Autori: Pau Herrero, Jorge Bondia, Marga Giménez, Nick Oliver, Pantelis Georgiou
Pubblicato in: Journal of Diabetes Science and Technology, Numero 12/2, 2017, Pagina/e 282-294, ISSN 1932-2968
Editore: Diabetes Technology Society
DOI: 10.1177/1932296818761752

Personalized Adaptive CBR Bolus Recommender System for Type 1 Diabetes

Autori: Ferran Torrent-Fontbona, Beatriz Lopez
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, Numero 23/1, 2019, Pagina/e 387-394, ISSN 2168-2194
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2018.2813424

Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes—An In Silico Proof-of-Concept

Autori: Cappon, Facchinetti., Sparacino., Georgiou, Herrero
Pubblicato in: Sensors, Numero 19/14, 2019, Pagina/e 3168, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19143168

Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes using Binary Classifiers

Autori: Amparo Guemes, Giacomo Cappon, Bernard Hernandez, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, 2019, Pagina/e 1-1, ISSN 2168-2194
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2019.2938305

A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study

Autori: 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, Pau Herrero
Pubblicato in: Journal of Diabetes Science and Technology, Numero 14/1, 2020, Pagina/e 87-96, ISSN 1932-2968
Editore: Diabetes Technology Society
DOI: 10.1177/1932296819851135

Prediction of Glucose Level Conditions from Sequential Data

Autori: Natalia Mordvanyuk, Ferran Torrent-Fontbona, Beatriz López
Pubblicato in: Conference poster presented at: 20th International Conference of the Catalan Association for Artificial Intelligence, 2017
Editore: Catalan Association for Artificial Intelligence (ACIA)

Application of Usability Engineering to the Development of a Personalized Decision Support System for Type 1 Diabetes Self-Management

Autori: Clare Martin, Arantza Aldea, Bedour Alshaigy, Parizad Avari, David Duce, Mercè Fernández-Balsells, José-Manuel Fernández-Real, Rachel Harrison, Pau Herrero, Narvada Jugnee, Chengyuan Liu, Beatriz López, Joaquim Massana, Yenny Leal, Alex Russell, Monika Reddy, Marion Waite, Marzena Wos and Nick Oliver
Pubblicato in: Poster: Advanced Treatments and Technologies for Diabetes (ATTD 2019), 2019
Editore: Advanced Treatments and Technologies for Diabetes (ATTD 2019)

A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling

Autori: OBU, ICL, UdG, IDIBGI
Pubblicato in: Poster: ICT 2018: Imagine Digital - Connect Europe, 2018
Editore: ICT 2018: Imagine Digital - Connect Europe
DOI: 10.5281/zenodo.2600776

Glucose Forecasting using a Physiological Model and State Estimation

Autori: Pau Herrero, Chengyuan Liu, Nick Oliver, & Pantelis Georgiou
Pubblicato in: Poster: Advanced Technologies and Treatments for Diabetes (ATTD 2018), 2018
Editore: Advanced Technologies and Treatments for Diabetes (ATTD 2018)
DOI: 10.5281/zenodo.3264901

Prediction of hyperglycemia and hypoglycemia events using longitudinal data

Autori: Natalia Mordvanyuk, Ferran Torrent-Fontbona, Beatriz López
Pubblicato in: Poster: ATTD 2018, 2018
Editore: 11th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD 2018)

Efficacy and safety of the Patient Empowerment through Predictive Personalised Decision Support (PEPPER) system: an open-label randomised controlled trial

Autori: Parizad Avari, Yenny Leal, Marzena Wos, Narvada Jugnee, Maria Thomas, Quim Massana, Beatriz Lopez, Lucian Nita, Clare Martin, Pau Herrero, Nick Oliver, José Manuel Fernández-Real, Monika Reddy, Mercè Fernández-Balsells
Pubblicato in: Poster: ATTD2020, 2020
Editore: 13th International Conference on Advanced Technologies & Treatments for Diabetes”

The PEPPER System Application Program Interface

Autori: Pau Herrero, Joaquim Massana, Yenny Leal, Lucian Nita, Parizad Avari, David Duce, Arantza Aldea, Pantelis Georgiou, José Manuel Fernández-Real, Mercedes Fernández-Balsells, Nick Oliver, Beatriz López, Clare Martin
Pubblicato in: Poster: ATTD2020, 2020
Editore: 13th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD2020)

Coordinating low-glucose Insulin suspension and carbohydrate recommendations for hypoglycemia minimization

Autori: Chengyuan Liu, Pantelis Georgiou, Pau Herrero , Nick Oliver, Avari Parizad
Pubblicato in: Diabetes technology & therapeutics. 12th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD 2019), 2019
Editore: Advanced technologies and treatments for diabetes (ATTD2019)

2Nd Workshop On Artificial Intelligence For Diabetes (Aime 2017)

Autori: Participants Of The 2nd Workshop On Artificial Intelligence For Diabetes
Pubblicato in: Proceedings of the 2nd Workshop on Artifical Intelligence For Diabetes, 2017
Editore: 16th Conference in Artificial Intelligences in Medicine
DOI: 10.5281/zenodo.887323

Artificial Intelligence in Health - First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers

Autori: Clare Martin, Arantza Aldea, David Duce, Rachel Harrison, and Bedour Alshaigy.
Pubblicato in: "Includes the proceedings ""The Role of Usability Engineering in the Development of an Intelligent Decision Support System""", 2019, ISBN 978-3-030-12738-1
Editore: Springer
DOI: 10.1007/978-3-030-12738-1

1st ECAI Workshop on Artificial intelligence for Diabetes

Autori: Participants of the1st ECAI Workshop on Artificial intelligence for Diabetes
Pubblicato in: Proceedings of the 1st Workshop on Artificial Intelligence for Diabetes, Numero 1, 2016
Editore: AID 2016 Workshop Editors
DOI: 10.5281/zenodo.400204

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