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RE-SAMPLE

Deliverables

Privacy-preserving designs of ML

Presents the privacy-by-design predictive models based on encrypted key features.

End-user involvement for design and evaluation - 2nd year

yearly reports the setup of the end-user panel and the end-user studies that are performed in that time-frame.

Quality, risk and IPR management plan

Contains the main guidelines on the quality management/control procedures to be applied in the project, along with relevant risk management procedures and methodologies.

Security and Data Protection Policies

defines all the security and data protection policies that should be in place to protect the data of the platform and also comply with the GDPR requirements. D4.8 follows the iterations of Tasks 4.2 and 4.6.

End-user involvement for design and evaluation - 3rd year

yearly reports the setup of the end-user panel and the end-user studies that are performed in that time-frame.

End-user involvement for design and evaluation

yearly reports the setup of the enduser panel and the enduser studies that are performed in that timeframe

Functional specifications for the virtual companionship programme

Describes the results of the design sessions for creating the virtual companionship programme the functional requirements that are derived from these participatory design sessions and their validation

User needs and expectations for privacy-abiding RWD collection

Discusses the functional and visual requirements for developing a RWD collection procedure and interface

SROI Methodology and first Quick Scan SROI ratio

describes the methodology and results from the quick scan SROI

Ethics strategy

Describes the strategy related to the ethics issues including indepth analysis of regulations protocols and procedures for the clinical studies to be followed by the project team

Representation of Multi-Modal Data and Disease Progression Monitoring Features

describes the data format used to represent multimodal disease related information to be collected which is the input format for the algorithms to train the predictive model

Key features extraction

Describes the key features identified through model analysis for predictions of exacerbations and suggestions of interventions.

Project website

showing a flexible website for information, news and regular updates.

Data management plan

Describes the data management life cycle for the data to be collected processed andor generated according to the template provided by the EC

Publications

The Societal Impact of a Virtual Companionship Programme for People with Chronic Obstructive Pulmonary Disease

Author(s): Stephanie Jansen-Kosterink, Marian Hurmuz
Published in: Preprint SSRN, Issue 10/20/2023, 2023
Publisher: SSRN
DOI: 10.2139/ssrn.4607620

Self-management of COPD supported by eHealth: Patients' attitudes towards monitoring, risk prediction and virtual coaching

Author(s): Marian Hurmuz, Eline te Braake, Stephanie Jansen-Kosterink, Christiane Grünloh
Published in: Preprint Research Square, Issue 12/22/2023, 2023
Publisher: Research Square
DOI: 10.21203/rs.3.rs-3781312/v1

Shifting Responsibilities: Developing a Pan-European Service Model for a eHealth Technology Supporting Self-Management of People with Chronic Obstructive Pulmonary Disease and Comorbidities

Author(s): Eline te Braake, Christiane Grünloh, Monique Tabak
Published in: International Journal of Chronic Obstructive Pulmonary Disease, Issue 1/17/2024, 2024, Page(s) 175-192, ISSN 1176-9106
Publisher: Dove Medical Press Ltd
DOI: 10.2147/copd.s432568

Exploring Patterns of COPD Exacerbations and Comorbid Flare-Ups

Author(s): Sanne van Dijk, Marjolein Brusse-Keizer, Tanja Effing, Paul van der Valk, Eline Ploumen, Job van der Palen, Carine Doggen, Anke Lenferink
Published in: International Journal of Chronic Obstructive Pulmonary Disease, Issue 11/16/2023, 2023, Page(s) 2633-2644, ISSN 1178-2005
Publisher: Dove Medical Press
DOI: 10.2147/copd.s428960

Lack of Evidence Regarding Markers Identifying Acute Heart Failure in Patients with COPD: An AI-Supported Systematic Review

Author(s): Sanne van Dijk, Marjolein Brusse-Keizer, Charlotte Bucsán, Eline Ploumen, Wendy van Beurden, Job van der Palen, Carine Doggen, Anke Lenferink
Published in: International Journal of Chronic Obstructive Pulmonary Disease, Issue 2/23/2024, 2024, Page(s) 531-541, ISSN 1178-2005
Publisher: Dove Medical Press
DOI: 10.2147/copd.s437899

Digital Therapeutics: Virtual Coaching Powered by Artificial Intelligence on Real-World Data

Author(s): Harm op den Akker; Miriam Cabrita; Aristodemos Pnevmatikakis
Published in: Frontiers in Computer Science, Vol 3 (2021), Issue 12/16/2021, 2021, ISSN 2624-9898
Publisher: Frontiers Media S.A.
DOI: 10.3389/fcomp.2021.750428

Artificial intelligence in systematic reviews: promising when appropriately used

Author(s): Sanne van Dijk, Marjolein Brusse-Keizer, Charlotte Bucsán, Job van der Palen, Carine Doggen, Anke Lenferink
Published in: BMJ Open, Issue 7/7/2023, 2023, Page(s) e072254, ISSN 2044-6055
Publisher: BMJ Publishing Group
DOI: 10.1136/bmjopen-2023-072254

Repeated Knowledge Distillation with Confidence Masking to Mitigate Membership Inference Attacks

Author(s): Mazzone, Federico; van den Heuvel, Leander; Huber, Maximilian; Verdecchia, Cristian; Everts, Maarten Hinderik; Hahn, Florian; Peter, Andreas
Published in: AISec 2022 - Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2022, Issue 11/11/2022, 2022, Page(s) 13-24, ISBN 978-1-4503-9880-0
Publisher: ACM
DOI: 10.1145/3560830.3563721

End-user and stakeholder participation in the European eHealth projectRE-SAMPLE

Author(s): Christiane Grünloh, Marian Hurmuz, Eline te Braake, Stephanie Jansen-Kosterink
Published in: Mensch und Computer 2023 – Workshopband, 03.-06. September 2023, Rapperswil, Issue 8/24/2023, 2023
Publisher: GI
DOI: 10.18420/muc2023-mci-ws02-436

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