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EVidenced based management of hearing impairments: Public health p?licy making based on fusing big data analytics and simulaTION

Progetto
Hearing Loss (HL) is one of the most prevalent chronic diseases and the 5th cause of disability. HL increases the risk of cognitive decline, mental illness, and depression, and leads to social isolation, unemployment/early retirement, loss of income and work discrimination. The pre-eminent management strategy for HL is the provision of Hearing Aids (HAs), although their use is often problematic, costly and with poor overall benefits. The holistic management of HL requires appropriate public health policies for HL prevention, early diagnosis, long-term treatment and rehabilitation; detection and prevention of cognitive decline; protection from noise; and socioeconomic inclusion of HL patients. However, currently the evidential basis for forming such policies is limited. Holistic HL management policies require the analysis of heterogeneous data, including HA usage, noise (TTS) episodes, audiological, physiological, cognitive, clinical and medication, personal, behavioural, life style, occupational and environmental data. EVOTION has access to big datasets of such data from five different organisations and will support their continuous update by real time data produced by sensors and HAs used by HL patients. To utilise these data in forming holistic HL management policies, EVOTION aims to develop an integrated platform supporting: (a) the analysis of the above datasets to enable the identification of causal and other effects amongst them, (b) policy decision making focusing on the selection of effective interventions related to the holistic management of HL, based on the outcomes of (a) and the formulation of related public health policies, and (c) the specification and monitoring of such policies in a sustainable manner. To achieve this aim, EVOTION also brings together public health policy organisations, experts and authorities supporting the formation of the targeted policies and the validation of the EVOTION support for it.
  • Dati Generali
  • Pubblicazioni

Dati Generali

Partecipanti

DAMIANI ERNESTO   Responsabile scientifico  

Dipartimenti coinvolti

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Tipo

H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action

Finanziatore

EUROPEAN COMMISSION
Organizzazione Esterna Ente Finanziatore

Periodo di attività

Novembre 1, 2016 - Ottobre 30, 2019

Durata progetto

36 mesi

Pubblicazioni

Pubblicazioni (6)

A Modelling Framework for Evidence-based Public Health Policy Making 
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE)
2022
Articolo
Partially Open Access
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A Data-informed Public Health Policy-Makers Platform 
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
MDPI
2020
Articolo
Open Access
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Managing a pool of rules for credit card fraud detection by a Game Theory based approach 
FUTURE GENERATION COMPUTER SYSTEMS
ELSEVIER
2020
Articolo
Reserved Access
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Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling 
FRONTIERS IN NEUROSCIENCE
FRONTIERS RESEARCH FOUNDATION
2019
Articolo
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Privacy-aware Big Data Analytics as a Service for Public Health Policies in Smart Cities 
SUSTAINABLE CITIES AND SOCIETY
ELSEVIER
2018
Articolo
Partially Open Access
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Improving hearing healthcare with big data analytics of real-time hearing aid data 
PROCEEDINGS IEEE WORLD CONGRESS SERVICES
IEEE
2019
Contributo in Atti di convegno
Reserved Access
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