Work

Implementation of machine learning algorithms to identify stress and anxiety levels in the personnel of a northern public mobility company

Year: 2024

Type: article

Abstract: This scientific article analyzes the use of machine learning techniques to identify levels of stress and anxiety among workers of the Empresa Pública de Movilidad del Norte. The problem lies in the high levels of stress and anxiety present in the staff. The company, committed to the prevention of occupational risks and the physical and mental well-being of its employees, implemented a control system based on an analytical-synthetic approach. These techniques processed data, identified patterns and improved their accuracy with each analysis. Through interviews with the manager, head of Human Resources and occupational physician, along with employee surveys, stress control and quality of work life were improved

Source: Health Leadership and Quality of Life

DOI: 10.56294/hl2024.523

Authors: Rita Azucena Díaz Vásquez, Jorge Lenin Acosta Espinoza, Karla Abigaíl Ayala Díaz, Andrés Roberto León Yacelga

Institution: Universidad Regional Autónoma de Los Andes

Language: English

Topic: Workplace Health and Well-being

Subfield: General Health Professions

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Decent work and economic growth

Open Access status: diamond

OpenAlex ID: W4406591396

FWCI:

Cites: 9

Cited by:

Related to: 10