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S. Calabrese, E. Donati, and C. Chousidis, "Prediction of hearing loss through application of Deep Neural Network," Paper 10373, (2020 May.). doi: S. Calabrese, E. Donati, and C. Chousidis, "Prediction of hearing loss through application of Deep Neural Network," Paper 10373, (2020 May.). doi:
Abstract: This paper describes a neural network designed to provide aid in the preventive diagnosis of hearing loss issues. Hearing loss is a widely widespread disability affecting millions of people worldwide. An anonymous dataset is used to train a neural network to evaluate hearing loss in prevention and early diagnosis with the aim of supporting health care by optimising time and cost. The system is tested using a second set of data and results in a correct evaluation of whether the patient is affected by hearing loss or not.

@article{calabrese2020prediction,
author={calabrese, samuele and donati, eugenio and chousidis, christos},
journal={journal of the audio engineering society},
title={prediction of hearing loss through application of deep neural network},
year={2020},
volume={},
number={},
pages={},
doi={},
month={may},} @article{calabrese2020prediction,
author={calabrese, samuele and donati, eugenio and chousidis, christos},
journal={journal of the audio engineering society},
title={prediction of hearing loss through application of deep neural network},
year={2020},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this paper describes a neural network designed to provide aid in the preventive diagnosis of hearing loss issues. hearing loss is a widely widespread disability affecting millions of people worldwide. an anonymous dataset is used to train a neural network to evaluate hearing loss in prevention and early diagnosis with the aim of supporting health care by optimising time and cost. the system is tested using a second set of data and results in a correct evaluation of whether the patient is affected by hearing loss or not.},}

TY - paper
TI - Prediction of hearing loss through application of Deep Neural Network
SP - EP -
AU - Calabrese, Samuele
AU - Donati, Eugenio
AU - Chousidis, Christos
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2020 TY - paper
TI - Prediction of hearing loss through application of Deep Neural Network
SP - EP -
AU - Calabrese, Samuele
AU - Donati, Eugenio
AU - Chousidis, Christos
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2020
AB - This paper describes a neural network designed to provide aid in the preventive diagnosis of hearing loss issues. Hearing loss is a widely widespread disability affecting millions of people worldwide. An anonymous dataset is used to train a neural network to evaluate hearing loss in prevention and early diagnosis with the aim of supporting health care by optimising time and cost. The system is tested using a second set of data and results in a correct evaluation of whether the patient is affected by hearing loss or not.