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EVidenced based management of hearing impairments: Public health pΟlicy making based on fusing big data analytics and simulaTION.

Deliverables

Platform dashboard and visualisation component

This deliverable will be supporting the interaction of users with the EVOTION platform by offering a dashboard of options to the users and components for visualising different types of information as necessary for PHP decision making.

PHPDM models v2

This deliverable will include the documentation of the initial PHPDM models developed in tasks T3.1, T3.2, T3.3 and T3.4, based on the analysis of static and dynamic clinical data. At least three of the models in the deliverable will be specified in PHPDM model specification language developed in WP4, to enable a validation of the use of the language in WP7 (by providing full concrete PHPDM model examples).

PHPDM models v1

This deliverable will include the documentation of the initial PHPDM models developed in tasks T3.1, T3.2, T3.3 and T3.4, based on the analysis of static clinical data.

Social media policy campaigning and feedback collection tool

This deliverable will be the operational version of the social media campaigning and feedback collection software component aiming to create Twitter campaigns, analyze and verify the credibility of feedback from Twitter. A user guide describing the main services of the software component will be also produced.

Integrated EVOTION platform v2

This deliverable will include: (a) the final proto-type of the integrated EVOTION platform; (b) report documenting it, its functionalities and any amendments made to its architecture and design documented in D6.1 and D2.2; (c) documentation of the testing carried out to ensure that the im-plemented platform is at TRL-7, and (d) usage guidelines for the platform. The final prototype of the platform will include SIC based security control mechanisms.

Auditory training components

This deliverable will include the auditory training module and three self-performed auditory tests that may be used to: (i) verify actual TTS with Pure Tone Audiometry (PTA), (ii) identify speech recognition problems after acoustic trauma when TTS have recovered with Speech-in-noise (SIN) test, and (iii) take electrophysiological measures of cochlear function.

Mobile application

This deliverable will be a prototype application enabling the collection of HA user inputs, controlling HAs, recording and providing context data (e.g., HA user location, time, surrounding noise, user activities) and transmitting such data to the EVOTION repository.

Integrated EVOTION platform v1

This deliverable will include: (a) the Initial proto-type of the integrated EVOTION platform and (b) a report documenting it, its functionalities and any amendments made to its architecture and design documented in D2.2. The initial prototype of the platform will include software based security control mechanisms. The initial prototype won’t be at TRL-7.

PHPDM models v3

This deliverable will include the documentation of the third version of the PHPDM models developed in tasks T3.1, T3.2, T3.3 and T3.4. These versions will improve upon the second version of the models following validation in WP7. Also in this deliverable, all models will be specified in the PHPDM model specification language developed in WP4. Hence models could be readily re-executed with different data, whilst maintaining the same types of BDA tasks.

Decision support system and simulation component

This deliverable will be the advanced implementation of EVOTION’s HA DSS. This implementation will take into account the results of the evaluation of the initial version of DSS (D5.2). In addition to the implementation, the deliverable will include a specification of the DSS, and usage instructions for it, and an encoding of the knowledge required by DSS.

BDA Engine

This deliverable will be a big data analytics engine supporting the processing of both static and dynamic real time HL related data.

First Dissemination Report

The Dissemination Reports, provided at the end of each year, will contain the activities and the reports targeting European health professionals, user groups, and other stakeholders.

Second Market Analysis and Exploitation Report

In this deliverable, the market analysis for the EVOTION solution will be elaborated. The first version of the report includes the market analysis. The two subsequent updates include the exploitation plan and updates to market analysis. The analysis of the market and the competitive environment surrounding the project will be performed (customers, value proposition, market size, market growth rate and industry cost).

Final Dissemination Report

The Dissemination Reports, provided at the end of each year, will contain the activities and the reports targeting European health professionals, user groups, and other stakeholders.

Integrated EVOTION solution v2

This deliverable will provide guidelines for installing and deploy-ing the EVOTION platform, and using its data collection, BDA and policymaking capabilities. It will also include a documen-tation of the ethical issues and possible ways of resolving them when using the platform to collect HL data.

Second periodic report

The final report of the project describing the financial and technical progress of the whole project.

First periodic report

First periodic report describing the work progress per work package and alterations in the work plan

EVOTION stakeholders, scenarios and requirements

Report specifying the different types of stakeholders, scenarios of using the EVOTION platform, user and system requirements for it and the outcomes of an up-to-date review of key technologies to be used in implementing the EVOTION platform.

Second Dissemination Report

The Dissemination Reports, provided at the end of each year, will contain the activities and the reports targeting European health professionals, user groups, and other stakeholders.

EVOTION architecture and detailed de-sign

Report specifying the overall architecture of the EVOTION platform and a detailed design specification of the hardware and software components of it, including their functionalities, interface and key quality and security constraints regarding their use.

First Market Analysis and Exploitation Report

In this deliverable, the market analysis for the EVOTION solution will be elaborated. The first version of the report includes the market analysis. The two subsequent updates include the exploitation plan and updates to market analysis. The analysis of the market and the competitive environment surrounding the project will be performed (customers, value proposition, market size, market growth rate and industry cost).

Final Market Analysis and Exploitation Report

In this deliverable, the market analysis for the EVOTION solution will be elaborated. The first version of the report includes the market analysis. The two subsequent updates include the exploitation plan and updates to market analysis. The analysis of the market and the competitive environment surrounding the project will be performed (customers, value proposition, market size, market growth rate and industry cost).

Project website and communication infrastructure

This deliverable will provide the pro-ject’s website and communication infrastructure (e.g., mailing lists, Wikis, document sharing system, teleconferencing plat-form).

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Publications

Predicting impact of loud incidents on individual hearing for public health policy in the framework of EVOTION.

Author(s): Dudarewicz A., Pawlaczyk-Luszczynska M., Zaborowski K., Sliwinska-Kowalska M., Katrakazas P., Koutsouris D., Henrik Pontoppidan N.
Published in: Proceedings Euronoise 2018 Conference, 2018

Public health policy for management of hearing impairments based on big data analytics: EVOTION at Genesis

Author(s): Spanoudakis, G.; Kikidis, D.; Bibas, A.; Katrakazas, P.; Koutsouris, D.; Pontopidan, N. H.
Published in: Proceedings of the 17th IEEE International Bio-Informatics and Bio-Engineering Conference, Issue 1, 2017

Associations between hearing performance and physiological measures – an overview and outlook

Author(s): Tietz, L.H.B., Katrakazas, P., Laplante-Lévesque, A., Pontoppidan, N.H., Koloutsou, N., Spanoudakis, G., Koutsouris, D.
Published in: Studies in Health Technology and Informatics, Issue Vol 238, 2017, Page(s) 100-103
DOI: 10.3233/978-1-61499-781-8-100

A big data repository and architecture for managing hearing loss related data

Author(s): Bin Ye, Ioannis Basdekis, Michail Smyrlis, George Spanoudakis, Konstantina Koloutsou
Published in: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2018, Page(s) 174-177
DOI: 10.1109/BHI.2018.8333397

Data-driven hearing care with time stamped data-logging

Author(s): Pontoppidan, N. H., Li, X., Bramsløw, L., Johansen, B., Nielsen, C., Hafez, A., & Pedersen, M. K.
Published in: Proceedings of the International Symposium on Auditory and Audiological Research, 6, Adaptive Processes in Hearing, Issue 6, 2018

Privacy-aware Big Data Analytics as a service for public health policies in smart cities

Author(s): Marco Anisetti, Claudio Ardagna, Valerio Bellandi, Marco Cremonini, Fulvio Frati, Ernesto Damiani
Published in: Sustainable Cities and Society, Issue 39, 2018, Page(s) 68-77, ISSN 2210-6707
DOI: 10.1016/j.scs.2017.12.019

Clinical validation of a public health policy-making platform for hearing loss (EVOTION): protocol for a big data study

Author(s): Giorgos Dritsakis, Dimitris Kikidis, Nina Koloutsou, Louisa Murdin, Athanasios Bibas, Katherine Ploumidou, Ariane Laplante-Lévesque, Niels Henrik Pontoppidan, Doris-Eva Bamiou
Published in: BMJ Open, Issue 8/2, 2018, Page(s) e020978, ISSN 2044-6055
DOI: 10.1136/bmjopen-2017-020978

Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling

Author(s): Jeppe H. Christensen, Niels H. Pontoppidan, Rikke Rossing, Marco Anisetti, Doris-Eva Bamiou, George Spanoudakis, Louisa Murdin, Thanos Bibas, Dimitris Kikidiks, Nikos Dimakopoulos, Giorgos Giotis, Apostolos Ecomomou
Published in: Frontiers in Neuroscience, Issue 13, 2019, ISSN 1662-453X
DOI: 10.3389/fnins.2019.00850

Application of Big Data to Support Evidence-Based Public Health Policy Decision-Making for Hearing

Author(s): Gabrielle H. Saunders, Jeppe H. Christensen, Johanna Gutenberg, Niels H. Pontoppidan, Andrew Smith, George Spanoudakis, Doris-Eva Bamiou
Published in: Ear and Hearing, 2020, Page(s) 1, ISSN 0196-0202
DOI: 10.1097/aud.0000000000000850

Managing a pool of rules for credit card fraud detection by a Game Theory based approach

Author(s): Gabriele Gianini, Leopold Ghemmogne Fossi, Corrado Mio, Olivier Caelen, Lionel Brunie, Ernesto Damiani
Published in: Future Generation Computer Systems, Issue 102, 2020, Page(s) 549-561, ISSN 0167-739X
DOI: 10.1016/j.future.2019.08.028

Challenges and Strengths of Multidisciplinary Research in Audiology: The EVOTION Example

Author(s): Giorgos Dritsakis, Louisa Murdin, Dimitris Kikidis, Gabrielle H. Saunders, Panagiotis Katrakazas, Dario Brdarić, Katherine Ploumidou, Doris-Eva Bamiou
Published in: American Journal of Audiology, Issue 28/4, 2019, Page(s) 1046-1051, ISSN 1059-0889
DOI: 10.1044/2019_aja-19-0034

The EVOTION project: Preventing deafness and hearing loss

Author(s): Niels Henrik Pontoppidan
Published in: Open Access Government, Issue January 2020, 2020, Page(s) 18-19, ISSN 2516-3817
DOI: 10.5281/zenodo.3736670