Title
Public Health Policy for Management of Hearing Impairments Based on Big Data Analytics: EVOTION at Genesis
Abstract
The holistic management of hearing loss (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 Hearing Aid (HA) usage, noise episodes, audiological, physiological, cognitive, clinical and medication, personal, behavioural, life style, occupational and environmental data. To utilise these data in forming holistic HL management policies, EVOTION, a new European research and innovation project, aims to develop an integrated platform supporting: (a) the analysis of related datasets to enable the identification of causal and other effects amongst them using various forms of big data analytics, (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. In this paper, we describe the EVOTION approach.
Year
DOI
Venue
2017
10.1109/BIBE.2017.00006
2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE)
Keywords
Field
DocType
public health policy,hearing loss,hearing aids,big-data analytics
Psychological intervention,Computer science,Knowledge management,Artificial intelligence,Environmental data,Management science,Public health,Holistic management,Hearing aid,Big data,Cognitive decline,Machine learning,Socioeconomic status
Conference
ISSN
ISBN
Citations 
2471-7819
978-1-5386-1325-2
3
PageRank 
References 
Authors
0.59
0
6