Przegląd zastosowania algorytmów uczenia maszynowego do oceny i monitorowania ryzyka zawodowego w czasie rzeczywistym
Year: 2025
Type: article
Abstract: Overview of the use of machine learning algorithms for real-time occupational risk assessment and monitoring Machine learning (ML) is an area of artificial intelligence dealing with algorithms that can modify their parameters based on processed data and perform tasks without explicit instructions. The development of artificial intelligence systems and Internet of Things technologies is resulting in ML algorithms being increasingly used in various sectors of the economy, including occupational risk assessment and monitoring. This article provides a review of the scientific literature in this field, which has identified the sectors and types of work environments in which these algorithms are used, defined the data used to learn ML algorithms and identified the most commonly used methods. The potential of UM algorithms to automate hazard identification and occupational risk assessment processes in real time is also presented. Keywords: machine learning, occupational risk assessment, real time, artificial intelligence
Authors: Daniel Podgórski, Centralny Instytut Ochrony Pracy-Państwowy Instytut Badawczy
Institution: Central Institute for Labour Protection
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4410077760