The combined effects of occupational exposure to noise and other risk factors− a systematic review

R Golmohammadi, E Darvishi - Noise and Health, 2019 - journals.lww.com
Purpose: Noise-induced health effects exacerbate by many other risk factors. This
systematic review aims at shedding light on the combined effects of co-exposure to …

The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review

JC Okeibunor, A Jaca, CJ Iwu-Jaja… - Frontiers in Public …, 2023 - frontiersin.org
Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …

Machine learning models for the hearing impairment prediction in workers exposed to complex industrial noise: a pilot study

Y Zhao, J Li, M Zhang, Y Lu, H Xie, Y Tian… - Ear and hearing, 2019 - journals.lww.com
Objectives: To demonstrate the feasibility of developing machine learning models for the
prediction of hearing impairment in humans exposed to complex non-Gaussian industrial …

Prediction of hearing recovery in unilateral sudden sensorineural hearing loss using artificial intelligence

MK Lee, ET Jeon, N Baek, JH Kim, YC Rah, J Choi - Scientific reports, 2022 - nature.com
Despite the significance of predicting the prognosis of idiopathic sudden sensorineural
hearing loss (ISSNHL), no predictive models have been established. This study used …

Artificial intelligence applications in otology: a state of the art review

E You, V Lin, T Mijovic, A Eskander… - … –Head and Neck …, 2020 - journals.sagepub.com
Objective Recent advances in artificial intelligence (AI) are driving innovative new health
care solutions. We aim to review the state of the art of AI in otology and provide a discussion …

Use of neural networks to identify safety prevention priorities in agro-manufacturing operations within commercial grain elevators

F Davoudi Kakhki, SA Freeman, GA Mosher - Applied Sciences, 2019 - mdpi.com
The grain handling industry plays a significant role in US agriculture by storing, distributing,
and processing a variety of agricultural commodities. Commercial grain elevators are …

Contributions and limitations of using machine learning to predict noise-induced hearing loss

F Chen, Z Cao, EM Grais, F Zhao - International Archives of Occupational …, 2021 - Springer
Purpose Noise-induced hearing loss (NIHL) is a global issue that impacts people's life and
health. The current review aims to clarify the contributions and limitations of applying …

Artificial intelligence in healthcare services: past, present and future research directions

WS Shah, Z Elkhwesky, KM Jasim… - Review of Managerial …, 2024 - Springer
Academics and practitioners are paying increasing attention to service automation and
taking advantage of the tremendous opportunities offered by artificial intelligence (AI). The …

Diagnosing thyroid disorders: Comparison of logistic regression and neural network models

S Borzouei, H Mahjub, NA Sajadi… - Journal of family …, 2020 - journals.lww.com
Background: The main goal of this study was to diagnose the two most common thyroid
disorders, namely, hyperthyroidism and hypothyroidism, based on multinomial logistic …

[HTML][HTML] Perspectivas do uso de mineração de dados e aprendizado de máquina em saúde e segurança no trabalho

FT Fernandes, ADP Chiavegatto Filho - Revista Brasileira de Saúde …, 2019 - SciELO Brasil
Introdução: a variedade, volume e velocidade de geração de dados (big data) possibilitam
novas e mais complexas análises. Objetivo: discutir e apresentar técnicas de mineração de …