Predicting the Risk of Chronic Kidney Disease (CKD) Using Machine Learning Algorithm

Background: Creatinine is a type of metabolite of blood that is strongly correlated to glomerular filtration rate (GFR). As measuring GFR is difficult, creatinine value is used for indirectly determining GFR and then the stage of chronic kidney disease (CKD). Adding a creatinine test into routine he...

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Veröffentlicht in:	Applied Sciences Jg. 11; H. 1; S. 202
Hauptverfasser:	Wang, Weilun, Chakraborty, Goutam, Chakraborty, Basabi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2021
Schlagworte:	Age Algorithms Biology (General) Blood pressure Chemistry chronic kidney disease Classification creatine Creatinine Datasets Decision trees Diabetes Engineering (General). Civil engineering (General) ensemble learning Hypertension Kidney diseases Machine learning Neural networks Physics QC1-999 QD1-999 QH301-705.5 regression T TA1-2040 Technology unbalanced data Variables
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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