Letter to the Editor: Exploring the influencing factors of abdominal aortic calcification events in chronic kidney disease (CKD) and non-CKD patients based on interpretable machine learning methods

Affiliations

¹ Liaquat University of Medical and Health Sciences, Jamshoro, Sindh, Pakistan.
² People's University of Medical and Health Sciences for Women, Nawabshah, Pakistan.
³ Bahria University Health Sciences Campus, Karachi, Pakistan.
⁴ Faisalabad Medical University, Faisalabad, Pakistan.
⁵ Liaquat University of Medical and Health Sciences, Jamshoro, Sindh, Pakistan. ali.karimsoomro@hotmail.com.

Comment

Sanjeet Kumar et al. Int Urol Nephrol. 2025.

. 2025 Sep 8.

doi: 10.1007/s11255-025-04778-7. Online ahead of print.

¹ Liaquat University of Medical and Health Sciences, Jamshoro, Sindh, Pakistan.
² People's University of Medical and Health Sciences for Women, Nawabshah, Pakistan.
³ Bahria University Health Sciences Campus, Karachi, Pakistan.
⁴ Faisalabad Medical University, Faisalabad, Pakistan.
⁵ Liaquat University of Medical and Health Sciences, Jamshoro, Sindh, Pakistan. ali.karimsoomro@hotmail.com.

No abstract available

Conflict of interest statement

Declarations. Conflict of interest: The authors declare no competing interests. Ethical approval: Not applicable. Consent: Not applicable.

Exploring the influencing factors of abdominal aortic calcification events in chronic kidney disease (CKD) and non-CKD patients based on interpretable machine learning methods.
Lin H, Dong X, Yin Y, Gao Q, Peng S, Zhao Z, Li S, Huang R, Tao Y, Wen S, Li B, Wu Q, Lin T, Dai H, Wen F, Li Z, Xu L, Ma J, Feng Z, Liu S. Lin H, et al. Int Urol Nephrol. 2025 Nov;57(11):3787-3798. doi: 10.1007/s11255-025-04564-5. Epub 2025 May 11. Int Urol Nephrol. 2025. PMID: 40348897

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