Article: Data Analysis of Impaired Renal and Cardiac Function Using a Combination of Standard Classifiers.
Journal of personalized medicine
2023 Volume 13, Issue 3
Abstract: We examine the significance of the predictive potential of EPI cystatin C (EPI CysC) in combination with NTproBNP, sodium, and potassium in the evaluation of renal function in patients with cardiorenal syndrome using standard mathematical classification ... ...
Abstract | We examine the significance of the predictive potential of EPI cystatin C (EPI CysC) in combination with NTproBNP, sodium, and potassium in the evaluation of renal function in patients with cardiorenal syndrome using standard mathematical classification models from the domain of artificial intelligence. The criterion for the inclusion of subjects with combined impairment of heart and kidney function in the study was the presence of newly discovered or previously diagnosed clinically manifest cardiovascular disease and acute or chronic kidney disease in different stages of evolution. In this paper, five standard classifiers from the field of machine learning were used for the analysis of the obtained data: ensemble of neural networks (MLP), ensemble of |
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Language | English |
Publishing date | 2023-02-28 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2662248-8 |
ISSN | 2075-4426 |
ISSN | 2075-4426 |
DOI | 10.3390/jpm13030437 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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