AIMC Topic: Occupational Diseases
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[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].
Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
May 8, 2025
The innovative technologies are becoming widespread in all spheres of human life, including labor protection. The AI, modern systems of monitoring and data analysis permit to develop devices with functions to determine physical conditions of workers,...
Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations.
Scientific reports
Mar 17, 2025
This study aimed to explore the combined impacts of occupational noise and dust on hearing and extra-auditory functions and identify associated risk factors via machine learning techniques. Data from 14,145 workers (627 with occupational noise-induce...
Metabolomic machine learning predictor for arsenic-associated hypertension risk in male workers.
Journal of pharmaceutical and biomedical analysis
Feb 19, 2025
Arsenic (As)-induced hypertension is a significant public health concern, highlighting the need for early risk prediction. This study aimed to develop a predictive model for occupational As exposure and hypertension using metabolomics and machine lea...
Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques.
BMC medical informatics and decision making
Feb 13, 2025
BACKGROUND: Ankle injuries in parcel delivery workers (PDWs) are most often caused by trips. Ankle sprains have high recurrence rates and are associated with chronic ankle instability (CAI). This study aimed to develop, determine, and compare the pre...
A fuzzy logic approach to improve the sensitivity of the rapid entire body assessment method.
International journal of occupational safety and ergonomics : JOSE
Jan 27, 2025
Conventional ergonomic observation methods, such as rapid entire body assessment (REBA), are limited in their sensitivity and reliability, particularly in detecting changes in input variables. This study integrates fuzzy logic with the REBA method, u...
Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.
Scientific reports
Dec 30, 2024
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 201...
Hearing loss prediction equation for Iranian truck drivers using neural network algorithm.
Work (Reading, Mass.)
Nov 25, 2024
BACKGROUND:  Given the high prevalence of hearing loss among truck drivers, using artificial neural networks (ANNs) to predict and detect contributing factors early can aid managers significantly.
A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach.
Surgical endoscopy
Sep 16, 2024
BACKGROUND: Surgical specialists experience significant musculoskeletal strain as a consequence of their profession, a domain within the healthcare system often recognized for the pronounced impact of such issues. The aim of this study is to calculat...
NLP-based ergonomics MSD risk root cause analysis and risk controls recommendation.
Ergonomics
Aug 27, 2024
An ergonomics assessment of the physical risk factors in the workplace is instrumental in predicting and preventing musculoskeletal disorders (MSDs). Using Artificial Intelligence (AI) has become increasingly popular for ergonomics assessments becaus...
Explainable machine learning framework to predict the risk of work-related neck and shoulder musculoskeletal disorders among healthcare professionals.
Frontiers in public health
Aug 20, 2024
OBJECTIVE: This study aims to develop risk prediction models for neck and shoulder musculoskeletal disorders among healthcare professionals.
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