Machine learning progressive CKD risk prediction model is associated with CKD-mineral bone disorder
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Elsevier BV
Reference41 articles.
1. Chronic kidney Disease testing among at-risk adults in the U.S. remains low: real-world evidence from a National Laboratory Database;Alfego;Diabetes Care,2021
2. Chronic Kidney Disease Assessment and Diagnosis;American Society for Clinical Pathology,2018
3. CKD progression prediction in a diverse US population: a machine-learning model;Aoki;Kidney Med.,2023
4. Berkhout J, Stone JA, Verhamme KM, et al. Application of a systems pharmacology-based placebo population model to analyze long-term data of postmenopausal osteoporosis. CPT Pharmacometrics Syst. Pharmacol. 2015;4(9):516–526. doi:https://doi.org/10.1002/psp4.12006 [20] Riggs MM, Peterson MC, Gastonguay MR. Multiscale physiology-based modeling of mineral bone disorder in patients with impaired kidney function. J Clin Pharmacol. (2012) 52(Suppl. 1):45S–53S. doi: https://doi.org/10.1177/0091270011412967.
5. Diagnosis and management of mineral metabolism in CKD;Bhan;J. Gen. Intern. Med.,2010
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