Machine learning and SHAP-based identification of RNASE1 linking environmental endocrine-disrupting chemicals exposure to atherosclerosis.
Saved in:
| Title: | Machine learning and SHAP-based identification of RNASE1 linking environmental endocrine-disrupting chemicals exposure to atherosclerosis. |
|---|---|
| Authors: | Zhou X; Department of Thoracic and Cardiovascular Surgery, Pingxiang People's Hospital, Pingxiang, China., Xiao Q; Department of Thoracic and Cardiovascular Surgery, Pingxiang People's Hospital, Pingxiang, China., Guo X; Department of Thoracic Surgery, Ganzhou Cancer Hospital, Ganzhou, China., Wang W; The First Clinical Medical College of Gannan Medical University, Ganzhou, China., Huang M; Department of Thoracic Surgery, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China. |
| Source: | Medicine [Medicine (Baltimore)] 2025 Sep 12; Vol. 104 (37), pp. e44567. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1536-5964 |
|---|---|
| DOI: | 10.1097/MD.0000000000044567 |
