Work

Identifying predictors of spatiotemporal variations in residential radon concentrations across North Carolina using machine learning analytics

Year: 2025

Type: article

Source: Environmental Pollution

DOI: 10.1016/j.envpol.2024.125592

Authors: Zhenchun Yang, Lauren Prox, Clare Meernik, Yadurshini Raveendran, David J. Press, Phillip Gibson, Amie Koch, Olufemi Ajumobi, Ruoxue Chen, Junfeng (Jim) Zhang, Tomi Akinyemiju

Institutions: Duke University, Duke Cancer Institute, NC Department of Health and Human Services

Language: English

Topic: Radioactivity and Radon Measurements

Subfield: Radiological and Ultrasound Technology

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4406061992

FWCI: 3.389

Cites: 25

Cited by: 4

Related to: 10