Work

Application of machine learning technologies in predicting severity of heat-related illnesses among construction workers

Year: 2026

Type: article

Source: Smart and Sustainable Built Environment

DOI: 10.1108/sasbe-02-2025-0101

Authors: Seyed Armin Mirhosseini, Ruidong Chang, Hossein Omrany, Yang Zou, Yan Liu

Institutions: The University of Adelaide, University of Auckland, Nanjing University

Language: English

Topic: Thermoregulation and physiological responses

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Decent work and economic growth, Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7154512494

FWCI: 11.81

Cites: 75

Cited by: 3

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