Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology

Yu Cai; Xi-Ru Huang; Sheng-Jia Wang; Ying-Chao Liang; De-Liang Liu; Shu-Fang Chu; Hui-Lin Li

doi:10.1371/journal.pone.0325896

Loading metrics

Open Access

Peer-reviewed

Research Article

Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology

Yu Cai ,

Contributed equally to this work with: Yu Cai, Xi-Ru Huang

Roles Conceptualization, Data curation, Investigation, Software, Validation, Visualization, Writing – original draft

¶These authors contributed equally to this work.

Affiliation The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
⨯
Xi-Ru Huang ,

Contributed equally to this work with: Yu Cai, Xi-Ru Huang

Roles Conceptualization, Data curation, Writing – original draft

¶These authors contributed equally to this work.

Affiliation The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
⨯
Sheng-Jia Wang,

Roles Investigation, Software, Writing – original draft

Affiliation The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
⨯
Ying-Chao Liang,

Roles Validation, Visualization, Writing – original draft

Affiliation The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
⨯
De-Liang Liu,

Roles Funding acquisition, Supervision, Writing – review & editing

Affiliation Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
⨯
Shu-Fang Chu ,

Roles Funding acquisition, Supervision, Writing – review & editing

* E-mail: sztcmlhl@163.com (HLL); chushufanggzhtcm@163.com (SFC)

Affiliation Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
⨯
Hui-Lin Li

Roles Funding acquisition, Supervision, Writing – review & editing

* E-mail: sztcmlhl@163.com (HLL); chushufanggzhtcm@163.com (SFC)

Affiliation Department of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China

https://orcid.org/0000-0002-4888-1025

⨯

Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology

Yu Cai,
Xi-Ru Huang,
Sheng-Jia Wang,
Ying-Chao Liang,
De-Liang Liu,
Shu-Fang Chu,
Hui-Lin Li

Published: June 26, 2025
https://doi.org/10.1371/journal.pone.0325896

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Hyperlipidemia
Is the Subject Area "Hyperlipidemia" applicable to this article?

Thanks for your feedback.
Chronic kidney disease
Is the Subject Area "Chronic kidney disease" applicable to this article?

Thanks for your feedback.
Diabetes mellitus
Is the Subject Area "Diabetes mellitus" applicable to this article?

Thanks for your feedback.
Uric acid
Is the Subject Area "Uric acid" applicable to this article?

Thanks for your feedback.
Hypertension
Is the Subject Area "Hypertension" applicable to this article?

Thanks for your feedback.
Cardiovascular diseases
Is the Subject Area "Cardiovascular diseases" applicable to this article?

Thanks for your feedback.
Alcohol consumption
Is the Subject Area "Alcohol consumption" applicable to this article?

Thanks for your feedback.