Using Explainable Machine Learning to Better Understand the Environmental and Socioeconomic Contributions to Preterm Birth

Journal:
Environmental Pollution
Published:
DOI:
10.1016/j.envpol.2025.127183
Affiliations:
6
Authors:
5
Institutions Authors Share
University of Birmingham, United Kingdom (UK)
2.000000
0.40
Chongqing Health Center for Women and Children, China
1.000000
0.20
National Clinical Research Center for Child Health and Disorders, CHCMU, China
1.000000
0.20
Sichuan Provincial Hospital for Women and Children, China
0.500000
0.10
Chengdu Medical College (CMC), China
0.500000
0.10