Author(s): Fernandes, Mariana ; Peixoto, Hugo ; Machado, José Manuel
Date: 2025
Persistent ID: https://hdl.handle.net/1822/95163
Origin: RepositóriUM - Universidade do Minho
Subject(s): Injury Assessment; Machine Learning; Occupational Medicine; Web Application
Occupational medicine focuses on protecting workers’ health, through the prevention of work-related illnesses and diseases, ensuring safety and well-being to perform their functions. This reflects in more productivity and resilience that comes with healthy workers, who experience fewer sick days and have more job satisfaction. Ultimately, this benefits both employees and the companies they work for, contributing to the overall performance and good functioning of the workplace. However, there is a gap in terms of existing software for corporal damage assessment of workplace injuries. Therefore, it is proposed the development of a web application designed to help professionals in the occupational medicine field with the evaluation of diseases and injuries sustained in the workplace. This solution aims to be more precise, effective, and timesaving, thereby enhancing the efficiency of assessments in this field. Moreover, the data collection of injury types and disability coefficients aims to establish a dataset for future machine learning applications. This initiative holds promise for advancing occupational health practices and promoting safer work environments for all.
