Prediction of acute kidney injury in patients with liver cirrhosis using machine learning models: evidence from the MIMIC-III and MIMIC-IV
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology,Nephrology
Link
https://link.springer.com/content/pdf/10.1007/s11255-023-03646-6.pdf
Reference51 articles.
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2. Realista S (2022) Acute kidney injury in the inpatient and outpatient setting. Crit Care Nurs Clin North Am 34(4):431–441. https://doi.org/10.1016/j.cnc.2022.08.004
3. Chancharoenthana W, Leelahavanichkul A (2019) Acute kidney injury spectrum in patients with chronic liver disease: Where do we stand? World J Gastroenterol 25(28):3684–3703. https://doi.org/10.3748/wjg.v25.i28.3684
4. Tariq R, Hadi Y, Chahal K, Reddy S, Salameh H, Singal AK (2020) Incidence, mortality and predictors of acute kidney injury in patients with cirrhosis: a systematic review and meta-analysis. J Clin Transl Hepatol 8(2):135–142. https://doi.org/10.14218/jcth.2019.00060
5. Mercado MG, Smith DK, Guard EL (2019) Acute kidney injury: diagnosis and management. Am Fam Physician 100(11):687–694
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Machine Learning-Based Analysis and Prediction of Liver Cirrhosis;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10
2. Predictors of Acute Kidney Injury in Patients Hospitalized With Liver Cirrhosis: A Systematic Review and Meta-Analysis;Cureus;2024-01-16
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